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Forging Process Modeling: Influence of Key Forging Process Parameters on Part Quality and Equipment Tonnage

机译:锻造过程建模:关键锻造过程参数对零件质量和设备吨位的影响

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Forging is one of the traditional bulk metal forming processes used extensively in the automotive industry. Forging has a distinct advantage versus other metal manufacturing processes in terms of strength, grain orientation, reliability, near net shape with lower material utilization, and machining requirements leading to cost effectiveness, etc. Today, the automotive industry is going through the critical phase of reducing component costs through material reduction and optimized tool consumption. With this challenge, process modeling is gaining more momentum in the industry to optimize blank size and improve the tool life with required part quality, while also evaluating press tonnage requirements for effective equipment usage. It also enables integrated process modeling by understanding the microstructure, residual stress/deformation built into the manufactured part, and integrating with material property changes for subsequent part performance prediction. A current case study details the approach to simulate a multi-stage hot forging process. In addition to deformation process modeling, the case study also focusses on billet size and process parameters to predict and obtain desired material flow and avoids filling defects with minimum material waste on forging and machining. Established predictive models through design of experiments can be utilized to control part quality and select forging equipment as per estimated tonnage required to forge a component.
机译:锻造是在汽车行业中广泛使用的传统散装金属成型工艺之一。锻造具有明显的优势与其他金属制造工艺在强度,晶粒取向,可靠性,近净形状附近,具有较低的材料利用率,以及加工要求,导致成本效益等。今天,汽车行业正在经历临界阶段通过材料减少和优化的工具消耗来降低元件成本。通过这一挑战,工艺建模在行业中获得了更多势头,以优化空白尺寸,并以所需的部件质量提高工具寿命,同时还评估按压吨位要求是否有效设备使用。它还通过了解制造部件中内置的微结构,残余应力/变形以及与后续部分性能预测的材料性能变化集成来实现集成的过程建模。目前的案例研究详细说明了模拟多级热锻造过程的方法。除了变形过程建模之外,案例研究还侧重于方坯尺寸和工艺参数来预测和获得所需的材料流动,并避免锻造和加工上的最小材料废物填充缺陷。通过设计的建立的预测模型可用于控制部件质量,并根据需要造成组件所需的估计吨位,选择锻造设备。

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