
Srinivasa Rao Pedapati- Doctor of Philosophy
- Professor at The University of Texas of the Permian Basin
Srinivasa Rao Pedapati
- Doctor of Philosophy
- Professor at The University of Texas of the Permian Basin
Looking for potential collaborators in Additive Manufacturing, FSW, FSP and O&G pipelines.
About
123
Publications
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Introduction
Srinivasa Rao Pedapati is active researcher with 30+ years of teaching & research experience. His research interests are Welding, Friction Stir Welding, Friction stir processed composites, Artificial Intelligence applications, and O&G pipelines. His current projects are Investigation of Flow Patterns Multiphase Transient Pipelines, Investigation on dissimilar FSW of Aluminum and SS alloys, FSP composites and Prediction models for oil & gas pipeline condition using ANN techniques.
Current institution
Additional affiliations
September 2023 - present
The University of Texas Permian Basin
Position
- Professor (Assistant)
Education
July 2001 - August 2004
August 1988 - May 1990
Publications
Publications (123)
INVITING PAPERS for SPECIAL ISSUE:
This Special Issue addresses innovative methodologies, optimization strategies, and case studies on welding and friction stir processes for composites. We will cover a range of topics, including novel welding techniques for composites, advancements in friction stir welding (FSW), solid-state methods to enhance co...
A comparative investigation is carried out on the impact of TTA on the FSP of AZ91 using a novel mesh-free SPH technique. The main objective is to interpret thermo-mechanical behavior by examining temperature distribution, material flow, and microhardness within the SZ. Comparing FSP with and without tool tilt revealed that the 2.5° TTA results in...
In this study, the wear behavior of AA7075/silicon carbide/fly ash hybrid surface composites processed with a clean and green friction stir processing technique was investigated. The microstructure of the composites was investigated to determine the particle dispersion. Wear tests using a pin-on-disc tribometer were conducted, and wear tracks and d...
Message from the Guest Editor Dear Colleagues, Composites are known for their excellent strength-to-weight ratio and versatility but pose unique challenges in joining techniques due to their distinct properties. This Special Issue addresses these challenges by highlighting innovative methodologies, optimization strategies, and case studies on weldi...
"Welding and Friction Stir Processes for Composite Materials"
A special issue of Journal of Composites Science (ISSN 2504-477X).
Deadline for manuscript submissions: 28 February 2025
Message from the Guest Editor: Dear Colleagues, Composites are known for their excellent strength-to-weight ratio and versatility but pose unique challenges in joining techniques due to their distinct properties. This Special Issue addresses these challenges by highlighting innovative methodologies, optimization strategies, and case studies on weld...
Rising concerns about climate change drive the demand for lightweight components. Magnesium (Mg) alloys are highly valued for their
low weight, making them increasingly important in various industries. Researchers focusing on enhancing the characteristics of Mg alloys
and developing their Metal Matrix Composites (MMCs) have gained significant atten...
Dear Colleagues,
We are delighted to share some exciting news with you! The Polytechnic Journal is gearing up for a new and impactful special issue, and we are thrilled to unveil its title "Sustainable Development Perspectives"
This upcoming special issue will delve into cutting-edge research and innovative approaches that contribute to the ever-e...
Friction Stir Additive Manufacturing (FSAM) is an advanced technique for non-fusion aluminum alloys, enabling the production of large, irregular-shaped parts without the typical solidification defects associated with melting. FSAM relies on a critical interplay of parameters that significantly influence the microstructure and mechanical properties...
Green manufacturing is the concept of maximizing the productivity along with keeping healthy environment and strong economy by less material waste and preserving the resources. Friction stir additive manufacturing (FSAM) is the subdivision of additive manufacturing and lies in the category of sheet lamination (SL) according to the ASTM F2792. This...
Austenitic stainless steel (ASS) structures are susceptible to stress corrosion cracking (SCC) in chloride-containing environments either in an exposed state or beneath a thermal insulation. This study aims to assess the impact of perlite thermal insulation on the SCC susceptibility of both SS304 as-received (AR) and sensitized (SEN) materials unde...
The thermo-mechanical characteristics of Friction Stir Processing (FSP) in the AZ91 Magnesium alloy were simulated using a numerical model that used the Smoothed Particle Hydrodynamics (SPH) approach. Meshfree SPH technique, a particle-based Lagrangian approach, excels in monitoring field variables, interfaces, and material deformations. Its adapta...
Friction stir additive manufacturing (FSAM) is a variant of sheet lamination additive manufacturing used to
produce large, near-net-shaped 3D parts. Unlike traditional friction stir lap welding, FSAM introduces a new plate to
one that is already joined, with the effective area limited to the nugget zone. The present study focuses on exploring the
m...
Friction Stir Processing (FSP) involves the use of Silicon Carbide (SiC) and Graphite (Gr) nanoparticles as reinforcements
to enhance the properties of AZ91 Mg alloy composites. The relationship between FSP processing
parameters and surface properties of Mg alloy composites with SiC and Gr nanoparticles is poorly understood.
The present study addre...
Austenitic stainless steels (ASS) are extensively employed in various sectors such as nuclear, power, petrochemical, oil and gas because of their excellent structural strength and resistance to corrosion. SS304 and SS316 are the predominant choices for piping, pressure vessels, heat exchangers, nuclear reactor core components and support structures...
Friction stir additive manufacturing (FSAM) is a sub-set of solid-state additive manufacturing technique that falls under sheet lamination additive manufacturing. This technique employs friction stir welding (FSW) to produce large, multi-layered parts via the plate addition method. Sufficient heat generation and material mixing are the basic requir...
Friction Stir Process (FSP) is considered one of the most convenient, effective, and environmental friendly manufacturing processes. In these processes, a tool involves a pin that blends the material around it and a shoulder that creates frictional heat. On the other hand, the pin mixes the soft material to refine the grain structure. This paper ai...
The world is more cautious about the environment and becomes aligned to eco-friendly, low-emission vehicles that are lightweight and efficient in this modern day. The lightest structural metal available on the earth is magnesium and hence is an excellent alternate material for various engineering applications where the weight of the material is a s...
Incorporating Silicon Carbides (SiC) particles as reinforcement has become a common practice to elevate surface proper- ties and augment mechanical strength, wear, and corrosion resistance in various alloys. Friction stir processing (FSP) is a method employed in the solid state to produce surface composites and refine grains. The push for weight re...
Friction stir processing (FSP) has gained significant attention worldwide since its inception due to its remarkable solid-state characteristics and microstructure refinement. However, the complex geometry of the FSP and 3-D features makes it challenging to create a set of governing equations for analyzing the post-process theoretical behavior. Due...
Austenitic stainless steel (ASS) type SS304 has been extensively employed in various sectors because of its good structural strength and corrosion resistance. These steels are susceptible to chloride-induced stress corrosion cracking (CISCC), particularly by the effect of chloride corrosive environment under thermal insulation. Corrosive environmen...
Friction Stir Processing, commonly known as FSP, is an innovative technique to refine microstructures and produce surface composites without any inherent defects. The heat generated during the FSP is primarily contributed by plastic deformation and edge friction which subsequently impacts the microstructure and the processed sample’s properties. In...
A three-dimensional (3D) numerical model was created to simulate and analyze the effect of tool rotational speeds (RS) and plunge rate (PR) on refill friction stir spot welding (refill FSSW) of AA7075-T6 sheets. The numerical model was validated by comparing the temperatures recorded at a subset of locations with those recorded at the exact locatio...
Additive manufacturing is a key component of the fourth industrial revolution (IR4.0) that has received increased attention over the last three decades. Metal additive manufacturing is broadly classified into two types: melting-based additive manufacturing and solid-state additive manufacturing. Friction stir additive manufacturing (FSAM) is a subs...
In the present study, dual-phase (DP590) steel sheets were joined using single-pulse and double-pulse resistance spot welding in lap joint configuration. Effects of the welding method on microstructure, texture, tensile shear properties (load carrying and energy absorption capacity), and fatigue strength of welded joints were investigated. Tensile...
This paper investigated the optimization, modeling, and effect of welding parameters on the tensile shear load-bearing capacity of double pulse resistance spot-welded DP590 steel. Optimization of welding parameters was performed using the Taguchi design of experiment method. A relationship between input welding parameters i.e., second pulse welding...
A thermo-mechanical model of friction stir processing (FSP) using the Altair based on meshless Smoothed-Particle Hydrodynamics (SPH) was developed and verified experimentally. Process parameters adopted for both experimentation and simulation during the FSP of AZ91 were 1000 rpm tool stirring speed, 40 mm/min tool advancing speed, and 0° tool tilt...
Uncertainty is a vital indicator in evaluating the prediction of real-world deep learning models. Without uncertainty, important decision-making process linked to safety, security and investment cannot be executed correctly by the users. While probabilistic deep learning methods have shown promise in quantifying prediction uncertainty, very few wor...
Uncertainty is one of the indicators to evaluate the prediction of deep learning models. In real-world prognostic domain, predicting failure with uncertainty provides users with powerful argument when important decisions related to safety, security and monetary must be made. While quantifying uncertainty has slowly becoming a norm in deep learning,...
Almost 40% of undiscovered hydrocarbon reserves have high CO 2 and H 2 S concentrations around the globe. So it is crucial to understand these hydrocarbon systems' thermophysical properties for the excellent design of production facilities. An experimental investigation is conducted in this study to understand and evaluate the thermodynamic conditi...
High specific strength and superior corrosion resistance are two key characteristics of the aerospace grade AA7075-T6 alloy. However, the surface behavior of AA7075-T6 is found to be deprived, because of its behavior of being prone to fretting fatigue and adhesive wear under dry sliding conditions. Thus, surface wear behavior improvement with the r...
Almost all fluid transportation in oil and gas facilities from one point to another are mainly using simple and complex pipelines system. These pipelines system is vital as it generates significant cash revenue to the facilities. However, the structural health of pipeline deteriorates over time due to various damage mechanism. Any Loss of Primary C...
The pipeline accidents due to faults (leakage and blockage) have been leading to major environmental issues. Various techniques have been established to detect faults in a pipeline. But each having pros and cons. Thus, there is a necessity for early and accurate fault detection to prevent failures. To identify the leaks in the pipelines, there is a...
A Remaining Useful Life prediction with Aleatoric uncertainty is presented in this paper. A Long Short-Term Memory (LSTM) architecture with probabilistic layer is employed where a normal distribution layer is incorporated to produce the predicted Health Index (HI) distribution of turbofan engines. Compared to the performance of other point estimate...
Heat is the fundamental requirement to join materials using Friction Stir Welding. This heat is a fraction of the total axial force applied on the workpiece, generated due to the inherent friction between the contact faces (shoulder and workpiece). Much research has been attempted to study the heat and material flow behaviour employing Finite eleme...
The use of expansive pipeline networks guarantees domestic and industrial users for accessing a continuous flow of valuable liquids and gases. These pipeline systems were considered the most economical and safest pipeline of transport for oil and gas and are of great strategic importance. The risks during operating conditions need to be controlled...
Gas hydrates are a major flow assurance problem in the oil & gas industry. If not treated well, they pose a major threat to pipeline failure. In this work, a simple statistical correlation is developed for the prediction of gas hydrate formation temperature. For this, initially, the thermodynamic equilibrium conditions for various gas mixtures are...
In this work, a prediction model is developed to determine the gas hydrate formation kinetics in multiphase gas dominant pipelines with crude oil. The model is developed with the usage of Artificial Neural Networks (ANN). Firstly, experiments were conducted to determine the rate of formation and reaction kinetics of hydrates formation in Gas + wate...
Due to the numerous challenges faced during the dissimilar welding, choosing the right process parameters and their optimization yields better results. In this context, the current investigation is focused on the optimization of process parameters. Taguchi’s L9 orthogonal array was selected to carry out the experimental investigations. The welded s...
Friction stir welding consists of three operation stages operation beginning with plunging, pre-heating (dwelling) and welding along the joint. Each stage has its own functionality critically controlled by process parameters with a respective period for a successful welding process. This paper deals with numerical modeling of heat generation during...
Mistrust, amplified by numerous artificial intelligence (AI) related incidents, is an issue that has caused the energy and industrial sectors to be amongst the slowest adopter of AI methods. Central to this issue is the black-box problem of AI, which impedes investments and is fast becoming a legal hazard for users. Explainable AI (XAI) is a recent...
: Mistrust, amplified by numerous artificial intelligence (AI) related incidents, has caused the energy and industrial sectors to be amongst the slowest adopter of AI methods. Central to this issue is the black-box problem of AI, which impedes investments and fast becoming a legal hazard for users. Explainable AI (XAI) is a recent paradigm to tackl...
The use of resistance spot welding (RSW) in the automotive industry is by far the most preferred and widely used joining technique for sheet metal parts and is likely to continue for the foreseeable future. Advanced high strength steels (AHSSs) are most commonly used in automotive structural components due to their attractive strength-ductility com...
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials, fintech management, medicine, neurorobotics, and psychology, among others. Prognostics and health management (PHM) is the discipline that links the studies of failure mechanisms to system lifecycle management. There is a need, which is still absent, to pro...
Simulation is limited and remains briefly addressed in the literature of friction stir spot welding (FSSW) process in joining dissimilar copper and aluminium. Thus, this study simulated the FSSW process of copper and aluminium to investigate the peak temperature during the plunging phase produced by all possible combinations of levels for tool rota...
Inefficient scheduling of a pipeline system may lead to severe degradation and substantial economic losses. Earlier studies mostly focussed on corrosion and statistical analysis. This study presents a novel approach for the prediction of life conditions and the classification of metal loss (ML) faults for a group of five pipeline sections of a pipe...
In this study, friction stir processing techniques has been utilized to fabricate
graphite-reinforced aluminium matrix composite. Silicon carbide will be mixed together
with graphite flakes as reinforcement with the composition of hybrid ratio
60: 40. The manipulated variable of this project is the number of passes used during
friction stir process...
In this work, an experimental and modelling study is performed to identify the phase behaviour of gas hydrates formation for a high CO2 content natural gas system and multiphase gas dominant system. Further, CSMGem, PVTSim, and Aspen HYSYS software packages are used to verify the prediction capabilities for gas hydrates formation conditions. Initia...
Gas hydrates is one the most complex flow assurance problems encountered in pipelines. The gas hydrate formation in
pipelines eventually leads to the blockage of pipelines interrupting pipeline operations and affects transmission safety. Over
the years, many mitigation techniques are employed to resolve gas hydrate issues in pipelines. But it is eq...
Explainable artificial intelligence (XAI) is in its assimilation phase in the prognostic and health management (PHM). The literature on PHM-XAI is deficient with respect to metrics of uncertainty quantification and explanation evaluation. This paper proposes a new method of anomaly detection and prognostic for gas turbines using Bayesian deep learn...
XAI is presently in its early assimilation phase in Prognostic and Health Management (PHM) domain. However, the handful of PHM-XAI articles suffer from various deficiencies, amongst others, lack of uncertainty quantification and explanation evaluation metric. This paper proposes an anomaly detection and prognostic of gas turbines using Bayesian dee...
Oil producers or operators such as Shell, Petronas, Petron, Chevron, and Lukoil have always placed their equipment as the highest priority for operations. Still, the study shows that many failures in the facility associated with piping systems lead to billions of dollars’ loss. In the oil and gas industry, these piping systems are subjected to vari...
A state-of-the-art systematic review on XAI applied to Prognostic and Health Management (PHM) of industrial asset is presented. The work attempts to provide an overview of the general trend of XAI in PHM, answers the question of accuracy versus explainability, investigates the extent of human role, explainability evaluation and uncertainty manageme...
Anomaly detection in Prognostic and Health Management (PHM) domain by exploiting the information from deep learning uncertainty is presented in this paper. The behaviour of the uncertainty is monitored by cumulative sum (CUSUM) anomaly detection to detect abrupt changes in uncertainty, which translates the transition from healthy state to deteriora...
The present study aims to investigate the effect of in situ postweld heat treatment (PWHT) on microstructure, tensile shear properties, failure mode, and hardness distribution of resistance spot weld of dual-phase (DP590) steel. Tensile shear properties were evaluated in terms of peak load and failure energy. Results showed that welds subjected to...
The pipeline leakage incidents have led to serious environmental concerns, various systems have been developed to detect leakages in a pipeline. Hence there is a need for early leakage detection, as well as leakage prediction system. Many of the leak detection techniques are based on computational intelligence techniques such as ANN, SVM, Fuzzy. Th...
In order to maintain a pipeline in safe condition, frequent inspections are mandatory. However, inspection procedures that requires human operators are costly and time consuming due to high complexity of pipeline system. A good prediction models for oil and gas pipeline is essential for simulating and predicting the condition of a pipeline. Most pr...
Deep learning is quickly becoming essential to human ecosystem. However, the opacity of certain deep learning models poses a legal barrier in its adoption for greater purposes. Explainable AI (XAI) is a recent paradigm intended to tackle this issue. It explains the prediction mechanism produced by black box AI models, making it extremely practical...
A review on reliability engineering applications in 4 industrial domains namely electronic, software, nuclear and aerospace from the 2000′s to the present day is compiled. The progress in industrial maintenance activities and Human Reliability Analysis (HRA) linked to these domains are explored. Then, the mathematical aspect of reliability evaluati...
Resistance spot welding (RSW) of dual phase (DP) steels is a challenging task due to formation of brittle martensitic structure in the fusion zone (FZ), resulting in a low energy capacity of the joint during high-rate loading. In the present study, in situ postweld heat treatment (PWHT) was carried out by employing a double pulse welding scheme wit...
In this study, the wear behavior of AA7075-T6 has been significantly improved by encapsulating TiC and graphite nanoparticles using FSP. The wear tracks and debris SEM EDX analysis confirms that the prominent wear mechanism changed from fretting fatigue to abrasion due to the presence of TiC/Gr mechanically mixed layer at contacting surfaces. The t...
The estimation of thermodynamic equilibrium conditions of methane hydrates in the presence of crude oil based on experiments is shown in this research work. This pipeline system replicated the gas-dominant multiphase transmission pipelines at deep-sea regions. An experimental study is done by the usage of a Raman gas hydrate reactor. The pressure w...
Resistance spot welds of dual phase (DP) steels are prone to low fracture toughness due to the formation of brittle martensitic structure in the fusion zone (FZ). In-process tempering of martensite via applying second pulse current is considered a new pathway to improve mechanical performance of the welds. The success of in-process tempering depend...
Resistance spot welds of dual phase (DP) steels are prone to low fracture toughness due to the formation of brittle martensitic structure in the fusion zone (FZ). In-process tempering of martensite via applying second pulse current is considered a new pathway to improve mechanical performance of the welds. The success of in-process tempering depend...
In this research, an experimental investigation was carried out in the existence of gasoline on the Carbon Dioxide hydrate. This was done to replicate or Understanding the development of gas hydrates in multi-phase transmission pipelines. The experiments are conducted in a Rocking cell Gas hydrate reactor, and thermodynamic equilibrium conditions a...
Joining of two different materials like aluminium and steel is a challenging task because of the vast differences in their physical, mechanical and chemical properties. Friction stir welding is a solid-state joining technique which is successful in joining dissimilar materials. In this study, the tool made with Tungsten-Rhenium with a pin length of...
Dissimilar material joining of aluminum and steel in the present scenario is an important criterion in the manufacturing industry, especially because of their low weight and technical performance. In the present investigation, AA5052 and SS304 are friction stir welded in lap configuration with different tilt angles, welding speed, pin depth, and to...
Leaks and breakdowns of pipelines can lead to catastrophic failures and cause economical
losses worldwide. Currently, condition monitoring has become a challenging process
because of various reasons such as fluctuating external conditions, natural hazards. Pipelines
are installed in severe conditions and are subjected to degradation mainly due to c...
This research is focused on understanding the phase behavior of gas hydrate formation in the gas dominant multiphase pipelines containing mixed gas with high co 2 , crude oil, and deionized water. The experimental conditions are in the pressure range of 3-7 MPa with water cut as 20% of the volume. Initially, the effect of high CO 2 content in natur...
In this work, a gas hydrate formation and dissociation study was performed on two multiphase pipeline systems containing gasoline, CO2, water, and crude oil, CO2, water, in the pressure range of 2.5–3.5 MPa with fixed water cut as 15% using gas hydrate rocking cell equipment. The system has 10, 15 and 20 wt.% concentrations of gasoline and crude oi...
In this study, dissimilar friction stir welding of aluminum 5052 and stainless steel 304 has been carried out with different process parameters. This investigation provides a better insight regarding the defect formation of the weld joints with tilt angles ranging from 0°to 2.5°. The experiments were conducted according to Ta-guchi L9 orthogonal ar...
Pipelines are like a lifeline that is vital to a nation’s economic sustainability; as such, pipelines need to be monitored to optimize their performance as well as reduce the product losses incurred in the transportation of petroleum chemicals. A significant number of pipes would be underground; it is of immediate concern to identify and analyse th...
Friction stir processing (FSP) has emerged as a valuable technique in the surface metal matrix composite fabrication field. In this process, solid-state processing mostly avoids the formation of detrimental phases inside composites. Despite having a high specific strength, further extensive Al alloy applications are limited due to their poor surfac...
In this paper, microhardness and microstructural characteristics of dual phase DP590 steel resistance spot weld joint under two different welding conditions (i. e. single pulse and multi pulse) were studied. It was observed that applying multi pulse currents resulted in quasi‐equiaxed grains of tempered martensite in fusion zone (FZ) of the weldmen...
In this study, friction stir processing (FSP) technique was used to fabricate rice husk ash (RHA) reinforced aluminum 7075 alloy (AA7075) surface composites (SCs). In which, deposition method of RHA into AA7075 substrate has been taken as a variable and its effects on microstructure, microhardness and tensile properties of resultant SCs were analyz...
Underwater Friction Stir Welding (UFSW) is a solid-state joining technique which uses a non-consumable tool to weld metals. The objective of this investigation is to evaluate the mechanical properties of the AA5052 Aluminium alloy joints prepared by UFSW. The effect of different type of welding tools and welding parameters on the weld joint propert...
Nowadays, Aluminium (Al) based hybrid surface composites are amongst the fastest developing advanced materials used for
structural applications. Friction Stir Processing (FSP) has emerged as a clean and flexible solid-state surface composites fabrication technique. Intensive research in this field resulted in numerous research output; which hinders...
Long distance oil and gas pipelines are the major transporters of crude oil and other petroleum products which are highly expensive and earning millions of dollars’ income. Considered that they are the secure way of transporting those products pipelines fail leaving catastrophic consequences behind. The aim of this study was to build a fuzzy-based...
In Transportation or transmission of Deep water hydrocarbon transportation pipeline, the hydrocarbon flow can decrease due to the growth of gas hydrates which lead to additional operational cost and time constraints. The monitoring of Deepwater transmission pipelines is quite crucial as they are operated at high pressures and low temperatures. So,...
Earning trust among high strength material industrialists for its sophistication, thin protective coating has gained its own maturity to date. As a result of active development in the industries, working tool has the capability of fabricating high strength materials with remarkable durability. For example, unwanted tool wear due to thermally soften...
Friction stir processing (FSP) has evolved as an important technique in fabrication of metal matrix composites. The surface properties enhancement is obtainable by insertion of desired discontinuous particular reinforcements into base alloy using FSP. Despite having high specific strength, more applications of Al alloys are restricted due to their...
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In situ post weld heat treatment (PWHT) by applying a second pulse current during resistance spot welding (RSW) provides a new pathway to alter the microstructure of the fusion zone (FZ) and improves the mechanical performance of the RSW joint. In the present study, effect of the second pulse current on microstructural characteristics and mechanica...
Pipelines sometimes generate different kinds of environmental damages which are irreparable and hazardous due to various reasons such as natural hazards, external loads, and corrosion. Many soft computational methods have been introduced to assess the failure rates of pipelines since decades. However, the majority of studies were limited to specifi...
Automobile, aerospace, and shipbuilding industries are looking for lightweight materials for cost effective manufacturing which demands the welding of dissimilar alloy materials. In this study, the effect of tool rotational speed, welding speed, tilt angle, and pin depth on the weld joint were investigated. Aluminum 5052 and 304 stainless-steel all...
Friction Stir Welding (FSW) presents numerous advantages over conventional fusion welding techniques such as eliminating the need for a shielding gas, requiring less energy per weld, and the lack of a flame or arc making it safer in the work place. Another advantage of FSW is its ability to join materials that are extremely difficult, or impossible...
Upstream gas supply planning and allocation contains 3 cycles namely long term (20 years-end of life of a field) mid-term (up to 1 year) and short term (72 hours). Since the upstream assets are owned/operated by different companies under various production sharing contracts, each of the operating companies prefer to maximize their production and re...
A novel dissimilar Laser Beam Weld of MDN 250 and 15CDV6 steels with adequate joint strength was successfully achieved using CO2 laser source. Electron probe microanalysis of the weld, weld microstructure, micro-hardness measurement across the weldment and transverse tensile properties of the weldment were evaluated. The fusion zone of the dissimil...
Underwater Friction Stir Welding (UFSW) is noted as an advanced technique in welding field which is a really new and emerging technology in recent years. In the present paper, a brief explanation on introduction to the Underwater Friction Stir Welding (UFSW) technique along with a review on the latest researches have been made. The review is design...
In this study, AA5052 joints are fabricated by underwater friction stir welding and the process parameters are optimized for maximum UTS value by utilizing a developed mathematical model. The experiments are conducted by using Taguchi's L9 orthogonal array, and polynomial regression analysis is applied to generate the model. Statistical tools such...
Underwater friction stir welding (UFSW) has been conducted on 5052-aluminum alloy in of 6-mm thickness plate at various tool rotational speeds, welding speeds and type of welding tools. The welding speed varied from 50 mm/min to 150 mm/min while the rotational speed varied from 500 rpm to 2000 rpm with three different type of welding tools viz., sq...
Specimens of carbon steel (CS) and stainless steel (SS) 316 was joined together by double sided butt joint Friction Stir Welding method. Effect of the tool rotational speed and specimen preheat temperature on resultant microstructure and mechanical behavior was studied. Constant traveling speed of 100 mm/min, tool rotational speed of 500 and 1000 r...
Salaya Mathura Pipeline (SMPL) is one of the major crude oil pipelines in India stretching over a length of 1870Km Starting from Salaya (near Vadinar) in Jamnagar district on the coast of Gujarat totransport crude oil to Indian Oil refineries at Koyali (Gujarat), Mathura (Uttar Pradesh) and Panipat (Haryana). In light of the expansion of crude refi...
Pipelines are considered safest mode of transport because of their limited number of facilities. It is therefore very important to monitor and optimize their operation and reduce their facilities to acceptable limits. Hence, it is an immediate requirement to assess and predict condition of existing oil and gas pipelines and to prioritize the planni...
In this paper, a study on the welding parameters for pipeline is done by application of Metal Inert Gas (MIG) welding by taking into account welding speed and wire feed rate as the parameters. These parameters are important to determine the tensile strength and weld bead penetration of the welded specimen. Large data sets are necessary to train the...