Roham Sadeghi Tabar
Dr. Roham Sadeghi Tabar is a researcher within the research group Geometry Assurance & Robust Design. The focus field of his research is geometry assurance of non-rigid and complex assembled products. His research is in collaboration with the automotive and aerospace industry, where the aim is to optimize the methods and simulation tools used for non-rigid assembly simulation. He has several years of work experience in the automotive industry in Sweden. He is a Research Affiliate at The International Academy for Production Engineering (CIRP) and a member of the American Society of Mechanical Engineers (ASME). His research interests are in the fields of Smart Manufacturing, Digital Twins, Geometry Assurance, Optimization, and Modeling and Simulation.
Showing 24 publications
Augmented geometry assurance digital twin with physics-based incremental learning
Robust Contact Computation in Non-Rigid Variation Simulation
Digital Twin-Based Clamping Sequence Analysis and Optimization for Improved Geometric Quality
Fixture Layout Optimization for Remanufacturing Using Directed Energy Deposition Process
Robust Contact Modeling in Non-Rigid Variation Simulation
Efficient Joining Sequence Variation Analysis of Stochastic Batch Assemblies
Optimal part matching and joining sequence in non-rigid assemblies for improved geometric quality
CONTACT SEARCH USING A KD-TREE FOR NON-RIGID VARIATION SIMULATION
Efficient joining sequence variation analysis of stochastic batch assemblies
Critical joint identification for efficient sequencing
Efficient spot welding sequence simulation in compliant variation simulation
JOINING SEQUENCE ANALYSIS AND OPTIMIZATION FOR IMPROVED GEOMETRICAL QUALITY
Efficient spot welding sequence simulation in compliant variation simulation
Efficient Spot Welding Sequence Optimization in a Geometry Assurance Digital Twin
JOINING SEQUENCE OPTIMIZATION IN COMPLIANT VARIATION SIMULATION
Efficient variation simulation of spot-welded assemblies
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Showing 6 research projects
Digital synchronization of geometry data for efficient value chains (DigiSync)
AI-based Deformation Compensation for the AM Process (AIDCAM)
Physics-Informed AI for Assembly Digital Twin (PIADT)
AI-based intelligent disassembly utilizing a Digital Twin (AIDDT)
Digital quality assurance for sustainable industry