Abel Cherouat | 3D Printing | Research and Development Award
Mr. Abel Cherouat, UniversitΓ© de Technologie de Troyes, France.
Prof. Abel Cherouat is a Full Professor at the University of Technology of Troyes (UTT) and a researcher at UR-GAMMA3, specializing in mechanical engineering, advanced materials, and computational mechanics. With a Research Habilitation (HDR) in 2002 and a Ph.D. in Mechanical Engineering (1994), he has contributed extensively to academia and industry. His expertise spans 3D printing, material forming processes, AI, and deep learning for Industry 4.0. A prolific researcher, he has authored over 110 journal papers, supervised 32 Ph.D. theses, and developed patented software solutions used by major companies like Airbus, Mercedes-Benz, and Dassault Aviation. ππ
Publication Profile
Scopus
Googlescholar
Education & ExperienceΒ 

πΉ Education:
- HDR (2002): Mechanical Engineering
- Ph.D. (1994): Mechanical Engineering
- Master (1991): Mechanics of Materials
- Engineering Degree (1989): Mechanical Engineering, Mechanical Design & Manufacture
πΉ Experience:
- Full Professor (since 2003): University of Franche-ComtΓ©, PR First Class (since 2012)
- Associate Professor (1997-2003): University of Technology of Troyes
- Teaching Experience: UTT, UTSEUS (China), ESTP, EPF, DGUT-CNAM, Erasmus programs across Europe
- Summer Courses: Taught at Xiβan Jiaotong University, Shanghai University, and BINUS University in AI, 3D printing, and computational mechanics
Suitability Summary
Prof. Abel Cherouat, a Full Professor at the University of Technology of Troyes (UTT), France, is a highly accomplished researcher and educator in the fields of mechanical engineering, materials science, and manufacturing processes. His groundbreaking research, technological innovations, and leadership in academia and industry collaborations make him a prime candidate for the Research and Development Award.
Professional DevelopmentΒ 

Prof. Abel Cherouat has dedicated his career to pushing the boundaries of mechanical engineering and computational modeling. He has led groundbreaking research in material forming processes, numerical simulations, and optimization. His contributions extend globally through international collaborations, Erasmus programs, and industrial partnerships. With expertise in AI, deep learning, and Industry 4.0 applications, he has played a key role in developing software tools used by major corporations. A seasoned mentor, he has supervised numerous doctoral and masterβs theses, nurturing future engineering leaders. His active participation in conferences, reviews, and committee work showcases his commitment to academic excellence. ππ§
Research FocusΒ 

Publication Top Notes
π Finite element simulations of textile composite forming including the biaxial fabric behaviour βΒ Composites Part B: Engineering | 231 citations | ποΈ 1997
π Determination of residual stress in composite laminates using the incremental hole-drilling method βΒ Journal of Composite Materials | 160 citations | ποΈ 2003
π Mechanical and numerical modelling of composite manufacturing processes deep-drawing and laying-up of thin pre-impregnated woven fabrics βΒ Journal of Materials Processing Technology | 145 citations | ποΈ 2001
π Numerical prediction of discontinuous central bursting in axisymmetric forward extrusion by continuum damage mechanics βΒ Β Computers & Structures | 118 citations | ποΈ 2004
π Influence of experimental parameters on determination of residual stress using the incremental hole-drilling method βΒ Composites Science and Technology | 110 citations | ποΈ 2004
π Experimental study and finite element simulation of a glass fiber fabric shaping process βΒ Polymer Composites | 93 citations | ποΈ 1995



Β Bachelorβs DegreeΒ β Mechanical Engineering & Automation, Changchun University


Β National Graduation Thesis (Design) Sampling Expert
Β Response Characterization on the Microstructure, Mechanical, and Corrosion Behavior of Clad Rebars with Different Weld MaterialsΒ 