Hossein Mokhtarian
Hossein Mokhtarian
Faculty of Engineering and Natural Sciences, Tampere University
Verified email at tuni.fi
TitleCited byYear
Comparative environmental impacts of additive and subtractive manufacturing technologies
H Paris, H Mokhtarian, E Coatanéa, M Museau, IF Ituarte
CIRP Annals 65 (1), 29-32, 2016
672016
A conceptual modeling and simulation framework for system design
E Coatanéa, R Roca, H Mokhtarian, F Mokammel, K Ikkala
Computing in Science & Engineering 18 (4), 42, 2016
282016
Function modeling combined with physics-based reasoning for assessing design options and supporting innovative ideation
H Mokhtarian, E Coatanéa, H Paris
AI EDAM 31 (4), 476-500, 2017
192017
A conceptual design and modeling framework for integrated additive manufacturing
H Mokhtarian, E Coatanéa, H Paris, MM Mbow, F Pourroy, PR Marin, ...
Journal of Mechanical Design 140 (8), 081101, 2018
112018
A network based modelling approach using the dimensional analysis conceptual modeling (DACM) framework for additive manufacturing technologies
H Mokhtarian, E Coatanéa, H Paris, T Ritola, A Ellman, J Vihinen, ...
ASME 2016 International Design Engineering Technical Conferences and …, 2016
102016
A comparative study to evaluate the efficiency of RCS and CGP processes
N. Solhjoei, AR. Varposhty, H. Mokhtarian, A. Manian
Indian Journal of Scientific Research, 563-572, 2014
82014
Knowledge-Based Design of Artificial Neural Network Topology for Additive Manufacturing Process Modeling: A New Approach and Case Study for Fused Deposition Modeling
HPN Nagarajan, H Mokhtarian, H Jafarian, S Dimassi, S Bakrani-Balani, ...
Journal of Mechanical Design 141 (2), 2019
62019
A Framework For Building Behavioral Models Of Technical And Economic Systems
T Ritola, E Coatanéa, JP Micaëlli, H Mokhtarian
12016
Modélisation intégrée produit-process à l'aide d'une approche de métamodélisation reposant sur une représentation sous forme de graphes: Application à la fabrication additive
H Mokhtarian
Grenoble Alpes, 2019
2019
Product-Process Integrated Meta-Modeling Using a Graph-Based Approach: Application to Additive Manufacturing
H Mokhtarian
Tampere University, 2019
2019
Tracing the Interrelationship between Key Performance Indicators and Production Cost using Bayesian Networks
S Panicker, HPN Nagarajan, H Mokhtarian, A Hamedi, A Chakraborti, ...
Procedia CIRP 81, 500-505, 2019
2019
Exploring Additive Manufacturing Design Space Using Bayesian Network: A Case Study On Reducing Curling Defect
A Hamedi, H Mokhtarian, E Coatanéa
NAFEMS Nordic Seminar: Exploring the Design Freedom of Additive …, 2018
2018
Knowledge based optimization of artificial neural network topology for additive manufacturing process modeling: a case study for fused deposition modeling
HPN Nagarajan, H Mokhtarian, H Jafarian, S Dimassi, SB Balani, ...
2018
Knowledge-Based Optimization of Artificial Neural Network Topology for Process Modeling of Fused Deposition Modeling
HPN Nagarajan, H Jafarian, A Hamedi, H Mokhtarian, R Prod'hon, ...
ASME 2018 International Design Engineering Technical Conferences and …, 2018
2018
Industrialization of hybrid and additive manufacturing-Implementation to Finnish industry (HYBRAM)
T Riipinen, V Kujanpää, E Komi, P Kilpeläinen, M Savolainen, P Puukko, ...
2018
Probabilistic Modelling of Defects in Additive Manufacturing: A Case Study in Powder Bed Fusion Technology
H Mokhtarian, A Hamedi, H Nagarajan, S Panicker, E Coatanea, ...
52nd CIRP Conference on Manufacturing Systems, 956-961, 2018
2018
Identification of fundamental requirements for idea metamodeling framework in additive manufacturing
H Mokhtarian, E Coatanéa, H Paris, J Vihinen, M Hosseini
Tampereen teknillinen yliopisto-Tampere University of Technology, 2017
2017
Modeling of The Process Parameters Influencing Cold Metal Transfer (CMT): Development of An Approach Based in Causal Networks
E Välimäki, H Mokhtarian, J Vihinen, E Coatanéa
Proceedings of the 1st Annual SMACC Research Seminar 2016, 56-59, 2016
2016
Toward Developing Surrogate Model Integrating Multi-Physics, Multi-Criteria Models For Additive Manufacturing Technologies
H Mokhtarian, E Coatanéa, H Paris, J Vihinen, K Ikkala, J Kiviö
Proceedings of the 1st Annual SMACC Research Seminar 2016, 40-42, 2016
2016
Characterization of the cutting parameters in comparison to the machine tool input power
K Ikkala, J Kiviö, H Mokhtarian, M Vainionpää, E Coatanéa
26th International Conference on Flexible Automation and Inteligent …, 2016
2016
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