Markus Bambach

Orcid: 0000-0002-8790-0807

According to our database1, Markus Bambach authored at least 27 papers between 2009 and 2026.

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Timeline

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Bibliography

2026
Machine learning of the dynamics of strain hardening based on contact transformations.
J. Intell. Manuf., February, 2026

A Bayesian Approach to Feedback Control for Hyperbolic Balance Laws.
CoRR, February, 2026

Online force prediction by neural networks in single point incremental hole flanging operations.
J. Intell. Manuf., January, 2026

A Unified Calibration Framework for High-Accuracy Articulated Robot Kinematics.
CoRR, January, 2026

Optimizing process parameters in cold spray additive manufacturing: A data-driven, simulation-based multi-objective approach.
Simul. Model. Pract. Theory, 2026

2025
Layer-to-layer Closed-loop Switched Heating and Cooling Control of the Laser Powder Bed Fusion Process.
CoRR, December, 2025

Differentiable Material Point Method for the Control of Deformable Objects.
CoRR, December, 2025

Area of interest algorithm for surface deflection areas.
J. Intell. Manuf., August, 2025

Layer-to-Layer Melt Pool Control in Laser Powder Bed Fusion.
IEEE Trans. Control. Syst. Technol., January, 2025

Deep Reinforcement Learning-based Parameter Optimization in Milling: A Novel Approach for Enhancing Tool Life.
Proceedings of the 2nd Workshop on Green-Aware Artificial Intelligence (Green-Aware AI@ECAI 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

2024
Compensation of Geometric, Backlash, and Thermal Drift Errors Using a Universal Industrial Robot Model.
IEEE Trans Autom. Sci. Eng., October, 2024

Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations.
J. Intell. Manuf., October, 2024

In-situ Controller Autotuning by Bayesian Optimization for Closed-loop Feedback Control of Laser Powder Bed Fusion Process.
CoRR, 2024

DeepForge: Leveraging AI for Microstructural Control in Metal Forming via Model Predictive Control.
CoRR, 2024

2023
An adaptive smoothed particle hydrodynamics (SPH) scheme for efficient melt pool simulations in additive manufacturing.
Comput. Math. Appl., June, 2023

GPyro: uncertainty-aware temperature predictions for additive manufacturing.
J. Intell. Manuf., 2023

Layer-to-Layer Melt Pool Control in Laser Power Bed Fusion.
CoRR, 2023

2022
Stabilization of forming processes using multi-dimensional Hamilton-Jacobi equations.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Description of random level sets by polynomial chaos expansions.
CoRR, 2021

Deformation error compensation of industrial robots in single point incremental forming by means of data-driven stiffness model.
Proceedings of the 26th International Conference on Automation and Computing, 2021

2018
Trajectory Optimization for Wire-Arc Additive Manufacturing.
Proceedings of the Operations Research Proceedings 2018, 2018

2014
Accounting for shear deformation in fast models for plate rolling.
Prod. Eng., 2014

2011
Technology roadmapping for the production in high-wage countries.
Prod. Eng., 2011

Towards integrative computational materials engineering of steel components.
Prod. Eng., 2011

Laser-assisted asymmetric incremental sheet forming of titanium sheet metal parts.
Prod. Eng., 2011

Review on the development of a hybrid incremental sheet forming system for small batch sizes and individualized production.
Prod. Eng., 2011

2009
Strategies to improve the geometric accuracy in asymmetric single point incremental forming.
Prod. Eng., 2009


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