Cyber Physical Production Systems for Deep Drawing

IF 2.4 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Journal of Manufacturing Science and Engineering-transactions of The Asme Pub Date : 2023-07-07 DOI:10.1115/1.4062903
Robert O. Jung, F. Bleicher, S. Krall, Christian Juricek, Rainer Lottes, Karoline Steinschuetz, T. Reininger
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Abstract

Deep Drawing is an essential manufacturing technology for car body parts. High process stability is a key for reducing scrap and therefore the ecological footprint during the production. To deal with an unknown fluctuation of the incoming material properties and uncertainties considering the friction, an adaptive process needs to be implemented. Various approaches have been pursued in the past, but not all of them are suited for an industrial series production with high demands for equipment durability, cost efficiency and flexibility. For this reason, a new concept for cyber physical production systems (CPPS) in deep drawing is presented, linking the data from the simulation, tool, press, material and finished part quality. Two common application scenarios are distinguished. These are firstly large outer parts with a complex geometry and high value, typically produced with tandem presses. Secondly smaller structural parts from high strength steel for the body in white (BIW), usually produced through a transfer or progressive die. Non destructive material testing, supplier material certificates and data measured directly in the forming tool are considered regarding the input. A variation of the servo curve and blank holder force (BHF) operate as control instances. Within the two application scenarios, a reactive and a preventive solution are characterized. As a first step towards the implementation of the CPPS, material inflow and force sensors are installed in an industrially relevant deep drawing tool.
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深拉深用网络物理生产系统
深拉深是汽车车身零件的一项重要制造技术。高工艺稳定性是减少废料的关键,从而减少生产过程中的生态足迹。为了处理来料性能的未知波动和考虑摩擦的不确定性,需要实现自适应过程。过去已经采取了各种方法,但并非所有方法都适合对设备耐用性,成本效益和灵活性有高要求的工业系列生产。为此,提出了一种将仿真、工具、压力机、材料和成品质量数据连接起来的深拉深加工网络物理生产系统(CPPS)的新概念。区分了两种常见的应用场景。这些首先是具有复杂几何形状和高价值的大型外部部件,通常由串联压力机生产。其次,较小的结构件由高强度钢制成,用于白车身(BIW),通常通过转移或级进模生产。非破坏性材料测试、供应商材料证书和在成形工具中直接测量的数据是作为输入考虑的。伺服曲线的变化和压边力(BHF)作为控制实例。在两种应用场景中,反应性解决方案和预防性解决方案具有特征。作为实施CPPS的第一步,材料流入和力传感器安装在工业相关的深拉深工具中。
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来源期刊
CiteScore
6.80
自引率
20.00%
发文量
126
审稿时长
12 months
期刊介绍: Areas of interest including, but not limited to: Additive manufacturing; Advanced materials and processing; Assembly; Biomedical manufacturing; Bulk deformation processes (e.g., extrusion, forging, wire drawing, etc.); CAD/CAM/CAE; Computer-integrated manufacturing; Control and automation; Cyber-physical systems in manufacturing; Data science-enhanced manufacturing; Design for manufacturing; Electrical and electrochemical machining; Grinding and abrasive processes; Injection molding and other polymer fabrication processes; Inspection and quality control; Laser processes; Machine tool dynamics; Machining processes; Materials handling; Metrology; Micro- and nano-machining and processing; Modeling and simulation; Nontraditional manufacturing processes; Plant engineering and maintenance; Powder processing; Precision and ultra-precision machining; Process engineering; Process planning; Production systems optimization; Rapid prototyping and solid freeform fabrication; Robotics and flexible tooling; Sensing, monitoring, and diagnostics; Sheet and tube metal forming; Sustainable manufacturing; Tribology in manufacturing; Welding and joining
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