TY  - JOUR
A1  - Thakare, Nilesh
A1  - Gerlach, Jannik
A1  - Fjodorovs, Nikita
A1  - Bailly, David
A1  - Scharifi, Emad
A2  - Kapoor, Shiv Gopal
T1  - Model based adaptive process control along intercompany process chain for sheet metal forming of steel
T2  - Journal of Manufacturing Processes
N2  - A typical metallic product manufacturing process chain involving several companies faces challenges in promptly responding to the deviations in material properties, thereby impacting its economic efficiency. This can be attributed to the lack of knowledge about the exact condition of each product in a batch, as suppliers can only perform quality inspections randomly. This study introduces a novel approach utilizing simulation models to calculate the mechanical properties of products and design of experiments based process design using the calculated product properties shared by suppliers with their customers over a secure and reliable intercompany data management platform. The proposed approach is implemented in a laboratory scale process chain consisting of cold rolling and deep drawing using DC04 steel to demonstrate adaptive process control via intercompany exchange of yield and tensile strength of the cold strip. The benefits of adaptive process control are demonstrated by 50 % reduction in deviations in the minimum sheet thickness in cross die, thus showcasing the reproducibility of the end product with improved quality and by avoiding scrap generation, thereby allowing a sustainable manufacturing.
KW  - Industry 4.0
KW  - Digitalization
KW  - Metal forming
KW  - Process modelling and simulation
KW  - Process optimization
KW  - Data based manufacturing
KW  - 03
Y1  - 2025
UR  - https://epub.fir.de/frontdoor/index/index/docId/3753
SN  - 1526-6125
N1  - E2E-Parameter - Data-based process control along interplant process chains

The aim of the E2E-Parameter research project was to enable companies in a supply or process chain to exchange data across companies.
N1  - Funding information:

The IGF project 21590 N / 2 of the research association FIR e. V. at RWTH Aachen University was funded via the AiF as part of the program for the promotion of joint industrial research (IGF) by the Federal Ministry of Economics and Climate Protection (BMWK) on the basis of a resolution of the German Bundestag.
VL  - 141
SP  - 403
EP  - 415
PB  - Elsevier
ER  -