Introductory study of sheet metal forming simulations to evaluate process robustness S Tatipala, J Pilthammar, M Sigvant, J Wall, CM Johansson IOP Conference Series: Materials Science and Engineering 418 (1), 012111, 2018 | 31 | 2018 |
Data-driven modelling in the era of Industry 4.0: A case study of friction modelling in sheet metal forming simulations S Tatipala, J Wall, CM Johansson, M Sigvant Journal of physics: conference series 1063 (1), 012135, 2018 | 17 | 2018 |
Product-Service Systems for functional offering of automotive fixtures: Using design automation as enabler C Johansson, T Larsson, S Tatipala Procedia CIRP 64, 411-416, 2017 | 15 | 2017 |
A hybrid data-based and model-based approach to process monitoring and control in sheet metal forming S Tatipala, J Wall, C Johansson, T Larsson Processes 8 (1), 89, 2020 | 14 | 2020 |
The influence of industry 4.0 on product design and development: Conceptual foundations and literature review S Tatipala, T Larsson, C Johansson, J Wall Design for Tomorrow—Volume 2: Proceedings of ICoRD 2021, 757-768, 2021 | 13 | 2021 |
Simulation-driven design approach for design and optimization of blankholder T Sravan, NR Suddapalli, P Johan, S Mats, J Christian Journal of Physics: Conference Series 896 (1), 012045, 2017 | 9 | 2017 |
Towards Improving Process Control in Sheet Metal Forming: A Hybrid Data-and Model-Based Approach S Tatipala, J Wall, T Larsson, C Johansson, M Sigvant SPS2020, 367-377, 2020 | 3 | 2020 |
Integrated Blankholder Plate for Double Action Stamping Die S Tatipala, NR Suddapalli | 3 | 2016 |
Smart stamping: Improved quality in stamping by model driven control M Sigvant, J Pilthammar, S Tatipala, E Andreasson 11th Forming Technology Forum, Zurich, Switzerland, 59-62, 2018 | 2 | 2018 |
Sheet metal forming in the era of industry 4.0: Using data and simulations to improve understanding, predictability and performance S Tatipala http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18954, 2019 | | 2019 |