Mohammad Arjomandi Rad

Mohammad Arjomandi Rad
Chalmers University of Technology · Industrial and Materials Science

About

17
Publications
4,527
Reads
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113
Citations
Introduction
I specialize in leveraging advanced technologies and methodologies—such as AI, machine learning, and digital twin technology—to optimize the product development process. Previously, worked on FEM, Experimental tests, ANNs, Engineering Optimization, Reliability-based and robust design, and Decision-making methods.
Education
August 2022 - March 2025
Chalmers University of Technology
Field of study
  • Product Development
August 2019 - August 2022
Jönköping University
Field of study
  • Machin Design
September 2016 - September 2018
Iran University of Science and Technology
Field of study
  • Automotive Engineering - Body and Structure

Publications

Publications (17)
Article
Full-text available
Despite the recognized importance of datasets in data-driven design approaches, their extensive study remains limited. We review the current landscape of design datasets and highlight the ongoing need for larger and more comprehensive datasets. Three categories of challenges in dataset development are identified. Analyses show critical dataset gaps...
Chapter
One crucial moment in product development is when all specifications of a product are ready, and the start of production is imminent. Companies very often have a milestone gate at this point where the development project is signed off and approved making sure that everything is ready and handing it over to the production department. This is a cruci...
Article
Full-text available
Today digital qualification tools are part of many design processes that make them dependent on long and expensive simulations, leading to limited ability in exploring design alternatives. Conventional surrogate modelling techniques depend on the parametric models and come short in addressing radical design changes. Existing data-driven models lack...
Conference Paper
Full-text available
Some high-level technical products are associated with transdisciplinary simulation-driven design processes. Therefore, their design process involves many stakeholders and is prone to frequent changes, leading to a highly iterative process with a long lead time. Despite the decades of statistical approximations and metamodeling techniques on predic...
Thesis
Full-text available
The development of more complex products has increased dependency on virtual/digital models and emphasized the role of simulations as a means of validation before production. This level of dependency on digital models and simulation togetherwith the customization level and continuous requirement change leads to a large number of iterations in each...
Article
Full-text available
Many high-level technical products are associated with changing requirements, drastic design changes, lack of design information, and uncertainties in input variables which makes their design process iterative and simulation-driven. Regression models have been proven to be useful tools during design, altering the resource-intensive finite element s...
Data
Image regression dataset of CAD screenshots as an input, with Volume simulation results as verified CAE outputs. The 60000 screenshots were obtained from the CATIA sketch environment. All pictures are single-channel and cropped to have the same object placement. The CSV file contains the volume (Liter) simulation results that are obtained by dynami...
Research Proposal
Rapid technology advancements and rise of computational power are enabling more complex products and this increases dependency on virtual/digital models, as well as simulation as only mean of validation before production. Consequently, the traditional design-build-test cycles are shifting to incorporate simulation verifications in as early stages o...
Conference Paper
Full-text available
Demanding markets and complex products are only some of the reasons that make changes and variations inevitable through different stages of product realization. From early phases of product development to downstream production phase, these changes or variations cause failure either directly or by propagating to other phases, triggering more fluctua...
Article
The genetic algorithm as a successful procedure that has been widely used in previous works to optimally design a product family. In this paper, to improve optimization procedure, a novel modification on the augmented chromosomes after performing genetic operations is proposed. Some drawbacks of product family penalty function (PFPF), such as the i...
Article
In a real-world loading case (e.g., car crash accidents), energy-absorbing components are subject to oblique loads at various uncertain angles. This paper aims to investigate the behavior of such components under three-dimensional (3D) oblique loads in deterministic and probabilistic loading conditions. In this way, some square tubes are tested exp...
Conference Paper
Full-text available
In the superplastic forming (SPF) process, interfacial friction distribution strongly influences quality of the formed parts, in terms of thickness distribution. The friction coefficient is essentially an uncertain probabilistic design parameter. In order to maximize thickness uniformity of the formed part considering uncertainties in the SPF proce...
Conference Paper
Full-text available
In recent years research on thin wall structure tubes filled with metal and polymer foam has attracted many researchers attention. In this paper, an aluminum tube with diameter of 60 mm and thickness of 1.5 and length of 200 mm, tested under quasi static load (5mm/min) and the result has compared to non foam filled tube. Tow type of Polyurethane fo...

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