CiSMA Research

Cognitive Intelligence for Smart Manufacturing — EU Horizon Europe project focused on data-driven quality control for sheet metal forming.

Demo Video

Forming Quality App — Live Demo

Walkthrough of the AI-powered Forming Quality App deployed at Volvo Cars Olofstrom plant. Demonstrates real-time material property input, ANN-based MaxFailure and MaxSpringback prediction, GREEN/YELLOW/RED status classification, SHAP feature explanations, and automatic cushion force optimisation.

CiSMA UC1 Demonstrator · BTH · 2025

Journal Publications

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Numerical data driven operation support for manufacturing of automotive body components
A. Barlo, O. Aeddula, M. Sigvant, J. Pilthammar, T. Chezan, M.S. Islam, T. Larsson
Journal of Intelligent Manufacturing (2025)

Investigates the development of an intelligent quality controller using ANN trained on stochastic FE simulation data. Validated on Volvo XC90 inner front door component.

Conference Papers

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Prediction of sheet metal part production robustness using advanced tribological models, thermo-mechanical modelling and stochastic FE-simulations
M. Sigvant, A. Barlo, M.S. Islam, J. Pilthammar
NUMISHEET 2025 — J. Phys.: Conf. Ser. 3104, 012054 (2025)

Stochastic FE simulations using AutoForm R12 Sigma with TriboForm models to predict production robustness at Volvo Cars stamping plant.

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On the use of Process Work as an Indicator for Process Disturbance in industrial Sheet Metal Forming
A. Barlo, M. Nitsche, M. Sigvant, J. Pilthammar
NUMISHEET 2025 — J. Phys.: Conf. Ser. 3104, 012103 (2025)

Explores process work estimation by numerically integrating punch force curves. Tested on Volvo XC90 front door inner production for in-line process monitoring.