Miloš Madić

University of Nis | NIS · Faculty of Mechanical Engineering (MFN)

Dross formation is an issue of multifold importance in laser cutting. In this study, based on data from two crossed experimental designs with 52 trials, a machine learning model, that is, multiple binary logistic regression, was developed to identify dross formation conditions in CO2 laser cutting. The model inputs were laser power, cutting speed,...

Exploiting the multiple advantages of laser cutting technology, in terms of cut quality, productivity, cutting costs, etc., requires careful consideration of laser cutting parameters and their optimization. Therefore, development and solving optimization models are of high importance. In the present study, in order to determine optimized cutting co...

Geometrical characteristics of obtained kerf are important quality indicators in laser cutting. Considering that they are differently affected by a number of factors, this study is focused on the analysis of kerf width and its variation in CO2 laser cutting of straight and curved cut profiles. For the purpose of analysis and modeling of possible cu...

Given the multiple significance of chip compression ratio (CCR) for machinability assessment, this study focuses on the analysis of CCR in medium longitudinal turning of C45E steel. The standard full factorial design was used to arrange three main cutting parameters, i.e., depth of cut, feed rate and cutting speed at two levels. Based on experiment...

The paper presents the control system of a continuous vulcanization line for the production of cables and conductors with rubber insulation, where the vulcanization process takes place in water and steam (vapour) atmosphere. The control, monitoring and recording of relevant parameters of the whole technological process was carried out with help of...

Structural stability and operational safety of transport structures, including railways and bridges, can be ensured by continuous monitoring of these structures and their surrounding environment. Several satellite remote sensing technologies have proven to be suitable for this task in the last few decades. This study conducted a review of literatur...

Chip form is considered as important turning process performance measure. It is the prevalent criteria for the evaluation of industrial plastics machinability. Chips of unfavourable forms also create difficulties in production, such as stopping of the machine tool and damage to the machined surface. This factor is influenced by the cutting paramete...

Assessment of tool life is of prime importance in machining process planning. The present study is focused on the development of tool life prediction model using artificial neural network (ANN). Data for model development were obtained using a tool and cutting data recommendation system of the cutting tool manufacturer and by applying full factoria...

Multiple benefits and advantages that offer laser cutting technology are difficult to achieve if the laser cutting parameter conditions are not adequately set. Determining laser cutting conditions is not trivial task considering large number of controllable inputs, existence of multiple process performances which are often mutually opposed as well...

Laser processing technologies are among the leading industry technologies for efficient and economical processing of a wide spectrum of engineering materials. The determination of optimal parameter settings with respect to multiple and opposite process performances is of great practical importance in laser processing technologies. This paper discus...

Dross formation is a multifaceted issue in laser cutting. It not only requires post-processing operations but also entails a wider heat-affected zone and poses additional health hazards in the working environment. In this study, a machine learning model using multiple binary logistic regression was developed to predict the conditions for dross form...

Cutting tool is a very important element of machining production system. It is primarily responsible for material removal in the form of chips, but also significantly affects multiple machinability characteristics, surface finish, attainable dimensional accuracy, productivity and costs. As for a given machining operation there is a number of altern...

Upon different traditional and unconventional contour cutting technologies, fiber laser cutting technology is increasingly emerging as the most adequate choice for modern industrial production. In this paper the basics, specific characteristics and associated benefits and opportunities, as well as latest research and development directions in fiber...

The turning process is influenced by a synergy of various parameters that affect the machining mechanisms and the resulting process efficiency. Among these factors, the evaluation of chip morphology is of paramount importance and can often be quantified by the chip compression ratio. This key figure serves as a quantitative measure of the overall p...

Given the high prevalence of the hole drilling process in manufacturing, its optimization, from the aspects of achieving cost savings and productivity improvement, is of utmost importance. Therefore, in the present research three single tool hole drilling optimization problems with different number of holes and hole patterns were defined in CAM sof...

Parameter screening refers to the identification of the most important controllable factors with respect to a given performance characteristic of a given system/process. In this study, Plackett-Burman design was applied in order to identify the factors that significantly affect surface roughness in longitudinal turning of C45E steel. The experiment...

Analysis of different technological and qualitative criteria as well as cost analysis in laser cutting is very important for evaluation of alternative cutting conditions. In this paper, a stochastic simulation model for the analysis of assist gas costs in CO2 laser oxygen cutting was developed. For the definition of model and its parameters empiric...

Turning process is affected by synergistic effects of a number of parameters which ultimately define machining mechanisms and resulting process performances. Chip morphology is essential for machining evaluation and can be quantified using chip compression ratio. This parameter can be used as a quantitative measure of the total plastic deformation,...

The maximum profit rate is the main goal of metal processing industry and represents a natural criterion for determining the optimal cutting parameters. The determined optimal cutting parameters must at the same time satisfy constraints related to the required quality of the finished part, cutting tool, and machine tool. This paper describes the ap...

Prediction of tool life is one of the key factors that the day‐to‐day metal cutting practitioner finds valuable. In this paper, a model for prediction of tool life for rough turning of S355JR structural steel with DNMG 15 04 12‐PR GC4425 cutting insert was developed. Data for model development were obtained using cutting tool manufacturer online so...

More than 90% of machining processes environmental impact is due to electrical energy consumption. Reduction in electrical energy consumption of machining processes can be achieved by optimizing existing machining processes. Specific cutting energy, unlike the cutting power, incorporates the material removed, and hence is an appropriate variable fo...

Aggregation methods in group decision-making refer to techniques used to combine the individual preferences, opinions, or judgments of group members into a collective decision. Each aggregation method has its advantages and disadvantages, and the best method to use depends on the specific situation and the goals of the decision-making process. In c...

The selection of the most adequate set of machining parameters in turning for a given application is not straightforward and requires consideration of a number of technotechnological, quality, machinability, productivity and economic criteria. In this study a multi-criteria decision making (MCDM) model for assessment of cutting regimes in turning o...

Turning is a complex machining process that can be characterized by a number of performances for a given machining system, workpiece material, cutting tool, and selected cutting regime. In addition to the characteristics of the machined surface quality, the estimation of machining time is particularly important for manufacturers, since machining ti...

Electrical discharge machining (EDM) is an unconventional machining process that can machine all electrically conductive materials, regardless of their physical and metallurgical properties. Due to the efficiency of machining modern engineering materials, existing EDM methods are constantly being researched and improved or developed. This paper dea...

Energy consumption in machining processes is a very important aspect that has been given increased importance in recent times. This article, therefore, proposes an approach for identification of the most important main and interaction effects of turning parameters regarding the cutting energy in dry longitudinal single-pass turning of low-alloyed a...

The development of mathematical models by using experimental data is of great importance for modelling and optimization of the laser cutting process. Motivated by the lack of research regarding the use of genetic programming (GP) for deriving empirical mathematical models that describe the laser cutting process, the present study discusses the appl...

With the ever-growing interest in energy saving during machining processes, it is important to be able to assess energy consumption for various machining conditions. The paper presents results on measuring of engaged power and energy consumption for external turning of an AISI1045 steel part. A series of experiments were conducted in which the valu...

Development of predictive models is essential for better understanding and analysis of machining processes. As surface roughness is one of the most important quality characteristics in machining, in this study an empirical model was developed for prediction of arithmetic mean roughness in dry straight turning of C45E steel using a coated carbide in...

One of the most important challenges for every machining shopfloor, especially a small one, is to achieve the required productivity with minimal energy consumption and engaged power. The paper presents a way to determine the optimal combination of values of cutting parameters such as depth of cut, feed rate and cutting speed from the range of their...

The research presented in this study deals with the analysis, modeling, and optimization of thermal effects in the creep-feed grinding process. Advanced grinding technology is investigated, which is defined as an extreme production process accompanied by large amounts of interface thermal energy, which results in a heat-affected zone of the workpie...

The objective of this paper is to present a novel, hybrid group multi-criteria decision approach that can be used to evaluate alternatives for the optimal synthesis of loader drive mechanisms. In most product design engineering groups, experts have expertise in different areas and robust decision-making is necessary to integrate a number of opposin...

Laser cutting parameters synergistically affect, although in different quantitative and qualitative manners, multiple process performances, such as the resulting cut quality characteristics, material removal rate, cutting time, and costs, and the determination of the most appropriate laser cutting conditions for a given application is of prime impo...

Biomaterials are a special class of contemporary materials used to make prostheses, parts of organs or to replace entire organs. They are used to replace soft and hard tissues. Metal biomaterials are mostly used to replace hard bone tissues and joints. There is no ideal substitution for natural biological material, but each of the biomaterials has...

For an efficient use of laser cutting technology, it is of great importance to analyze the impact of process parameters on different performance indicators, such as cut quality criteria, productivity criteria, costs as well as environmental performance criteria (energy and resource efficiency). Having this in mind, this study presents the experimen...

Machine tools are dominant end users of electrical energy in the manufacturing industries, which account for one third of global energy consumption and 36 % of global carbon emissions. Optimization of cutting parameters is one of the key strategies for the reduction of energy consumption. The optimization problem for multi-pass turning of grey cast...

The material selection problem is one of the most important steps in the development process of a part of any subassembly assembly, machine, product, etc. The material selection process needs a systematic and time-consuming approach to choose the optimal material to satisfy the product’s requirements. That is to say, many confronting criteria and p...

This paper focuses on turning a commonly used industrial plastic, unreinforced polyoxymethylene copolymer (POM-C), using a cutting tool made of polycrystalline diamond (PCD). Conducted experimental investigation was the basis for the analysis of the influence of cutting parameters on cutting energy, determination of specific cutting energy and cons...

The research presented in this paper deals with the modeling and optimization of heat transfer problem in the machining process. An inverse heat transfer model based on the measured temperature at some point in the surface layer of the workpiece was used. The developed inverse model determines temperature and heat flux distribution for the selected...

This research aimed to describe a fuzzy optimal energy control strategy, so the electrical discharge machining (EDM) process can be optimized as a whole. The purpose is to develop a fuzzy logic-based multi-input–multi-output optimal control system to characterize the discharge energy efficiency of the EDM process. Methodology used in this paper is...

For a given workpiece material, in addition to the cutting tool material used and its geometry, a set of adopted cutting parameters significantly affect the actual turning process. With the ultimate aim of improving machining efficiency while ensuring the specified part quality and lowest possible energy consumption and costs, the optimization of t...

Taking full advantage of what laser cutting technology offers in terms of achieving superb quality cuts at low cost and high production rates requires the optimization of laser cutting parameters. This implies the need to formulate and solve different laser cutting optimization problems. In this article, an optimization model for CO 2 laser cutting...

Machining quality is very important performance characteristics of electrical discharge machining (EDM). This paper presents the development and application of an adaptive neuro-fuzzy inference system (ANFIS) in the EDM process for prediction of quality parameters. In this ANFIS architecture, discharge current and pulse duration are input variables...

The evaluation and selection of an optimal, efficient and reliable supplier is becoming more and more important for companies in today’s logistics and supply chain management. Decision-making in the supplier selection domain, as an essential component of the supply chain management, is a complex process since a wide range of diverse criteria, stake...

Surface roughness is one of the main indicators of quality assessment of finished parts processed by laser cutting. This paper presents the experimental results regarding surface roughness of laser cuts in high-power CO2 laser cutting of AA5754 aluminum alloy by using nitrogen as the assist gas. Based on carrying out the full factorial design exper...

Design of experiments

Electrical energy, which in the machining zone is transformed into heat, is of key importance in electrical discharge machining (EDM). Machining performance of EDM is determined by the characteristic of discharge energy. Therefore, an experimental-analytical approach of discharge energy efficiency was analyzed. The main input parameters for control...

Reduction of passenger cars fuel consumption and associated emissions are two major goals of sustainable transport over the last years. Passenger car fuel consumption is directly related to a number of technological aspects of a given car, driver behaviour, road and weather conditions and, especially at urban level, road structure and traffic flow...

Supplier evaluation and selection is becoming more and more important for companies in today’s logistics and supply chain management. Decision making in supplier selection domain, as an essential component of supply chain management, is a complex process due to the fact that a wide range of diverse criteria, stakeholders and possible solutions are...

This paper shows the integrated mathematical and experimental investigation of material removal in electrical discharge machining (EDM), on the basis of electro-thermal approach. In the present model, the amount of heat energy is the equivalent to EDM’s electrical energy, so that the heat source characteristics of the discharge zone are a function...

The problem of cutting difficult-to-machine materials used in the aerospace industry, aircraft industry, and automobile industry, led to the development and application one of today’s most attractive technology for contour cutting - abrasive water jet cutting. For the efficient use of abrasive water jet cutting, it is of great importance to analyze...

Solving problems of stress-strain analysis in plastic deformation processes can be carried out by many methods. Almost all solutions can be reduced to an analysis of theoretical and experimental results, obtained by some mathematical models as well as by experimental testing of the plastic deforming process. The ultimate goal is to determine the st...

Complex nature of machining processes requires the use of different methods and techniques for process optimization. Over the past few years a number of different optimization methods have been proposed for solving continuous machining optimization problems. In manufacturing environment, engineers are also facing a number of discrete machining opti...

Determining the optimal laser cutting conditions for simultaneous improvement of multiple cut quality characteristics is of great importance. The aim of the present research is to simultaneously optimise three cut quality characteristics such as surface roughness, kerf taper angle and burr height in CO2 laser cutting of stainless steel. The laser c...

Laser cutting is one of the leading non-conventional machining technologies with a wide spectrum of application in modern industry. It order to exploit a number of advantages that this technology offers for contour cutting of materials, it is necessary to carefully select laser cutting conditions for each given workpiece material, thickness and des...

Production engineers are frequently faced with the multi-criteria selection problems in the manufacturing environment. Over the years, many multi-criteria decision making (MCDM) methods have been proposed to help decision makers in solving different complex selection problems. This paper introduces the use of an almost unexplored MCDM method, i.e....

Manufacturing is a primary generator of wealth of the country and is essential for economic growth. Determination of the most suitable manufacturing process conditions for a given application is very complex task and requires consideration of a number of conflicting and diverse process performance characteristics (criteria). In this paper the appli...

Passivation is a chemical process in which the electrochemical condition of passivity is gained on the surface of metal alloys. Biomedical AISI 316LVM stainless steel (SS) can be passivized by means of nitric acid immersion in order to improve a protective oxide layer on the surface and consequently increase corrosion resistance of the SS in the ph...

In this paper multiple criteria decision making approach of alternative fuels for waste collection vehicles in southeast region of Serbia was presented. Eight alternative fuels and advanced vehicle technologies were ranked according to thirteen criteria, including financial, socio-technical, and environmental. Assessment of alternatives was perform...

Stainless steel is widely used as material in many industries and medicine. As biomedical material, it has been used for making devices, implants as well as tools and equipment in surgery and dentistry. The most of them is processed by turning. Modeling of temperature in the metal cutting process is very important step in understanding and analysis...

This paper focuses on development and comparison of empirical models for the prediction of kerf width obtained in CO2 laser cutting of AISI 304 stainless steel using regression analysis, artificial neural network (ANN) and fuzzy logic. Laser cutting experiment, conducted according to Taguchi's experimental design using L27 orthogonal array, and pro...

In this paper, an attempt has been made to develop a mathematical model in order to study the relationship between laser cutting parameters such as laser power, cutting speed, assist gas pressure and focus position, and kerf taper angle obtained in CO2 laser cutting of AISI 304 stainless steel. To this aim, a single hidden layer artificial neural n...

Optimization of cutting parameters in finish turning of medical stainless steel 316LVM with coated carbide tools using Taguchi method is proposed in this paper. Four cutting parameters namely, insert radius, depth of cut, feed and cutting speed are optimized with considerations of surface roughness as performance characteristic. The effects of cutt...

Multi-objective optimization of laser cutting for simultaneous improvement of performance characteristics is of great practical importance. In this study a range of value (ROV)-based Taguchi methodology is proposed for multi-objective optimization of laser cutting, i.e. surface roughness, kerf width and burr height in CO2 laser cutting of AISI 304...

Abrasive water jet machining is frequently used in industry. It is one of the most versatile processes in the world. The basic advantages of abrasive water jet machining is that no heat affected zones or mechanical stresses are left on an abrasive water jet cut surface, high flexibility and small cutting forces. Although this cutting technology inc...

It is well known fact that materials play an important role in engineering design. Nowadays over a hundred thousand available materials can be distinguished with constant tendency for increasing the novel designed materials. Therefore material selection process becomes a complex and time consuming task. Selection of the most suitable material for a...

The role of non-conventional machining processes (NCMPs) in today’s manufacturing environment has been well acknowledged. For effective utilization of the capabilities and advantages of different NCMPs, selection of the most appropriate NCMP for a given machining application requires consideration of different conflicting criteria. The right choice...

Dross free laser cutting is very important in the application of laser cutting technology. This paper focuses on the development of a fuzzy logic model to predict dross formation in CO2 laser oxygen cutting of mild steel. Laser cutting experiment, conducted according to Taguchi’s experimental design using L25 orthogonal array, provided a set of dat...

Machining of aluminum and its alloys requires the use of cutting tools with special geometry and material. Since there exists a number of cutting tools for aluminum machining, each with unique characteristics, selection of the most appropriate cutting tool for a given application is very complex task which can be viewed as a multi-criteria decision...

Selection of the most suitable non-conventional machining process (NCMP) for a ceramics machining represents a multi-criteria decision making (MCDM) problem. This paper describes the application of relatively novel MCDM methods for selecting the most suitable NCMP for the ceramics machining. By applying WASPAS and COPRAS methods, ten NCMPs (alterna...

In this paper, multi-objective optimization of the cut quality characteristics in CO2 laser cutting of AISI 304 stainless steel was discussed. Three mathematical models for the prediction of cut quality characteristics such as surface roughness, kerf width and heat affected zone were developed using the artificial neural networks (ANNs). The laser...

In this paper an approach for multi-criteria analysis of laser cut surface characteristics using multi-criteria decision making (MCDM) approach was presented. Laser cutting experiment was conducted based on Taguchi’s L27experimental design by varying laser power, cutting speed, assist gas pressure and focus position at three levels. Multi-criteria...

Determining of optimal laser cutting conditions for improving cut quality characteristics is of great importance in process planning. This paper presents multi-objective optimisation of the CO2 laser cutting process considering three cut quality characteristics such as surface roughness, heat affected zone (HAZ) and kerf width. It combines an exper...