Forging forming -- English · 2023年8月2日 0

Forging design optimization: improve performance and reduce cost

In forging design, the following aspects can be optimized to improve performance and reduce costs: Material selection: Choosing the right material can improve the performance and reduce costs of forging to a certain extent. Taking into account the strength, wear resistance, corrosion resistance, weldability and other requirements, the selection of economic and practical materials is the key. For the choice of materials, you can refer to the previously mentioned forging material selection guide to make decisions. Reduce material waste: In the forging process, minimizing material waste is an effective way to reduce costs. Through precise material cutting and optimized design, waste generation can be reduced and utilization improved. Reasonable geometry: When designing forgings, the flow and deformation characteristics of materials should be taken into account. Reasonable geometry can reduce the material loss in the forging process and reduce the cost of subsequent processing. Minimize subsequent machining: By controlling the size and shape during the forging process, the need for subsequent machining can be minimized, thus reducing the overall cost. Structural optimization: For forgings with complex structure, defects such as stuck and porosity can be reduced during forging by optimizing design. The optimized design can improve the quality of forgings, reduce the rate of unqualified products, and thus reduce the cost. Process improvement: By analyzing and improving the forging process, production efficiency and product quality can be improved, and costs can be reduced. For example, reasonable choice of forging temperature, speed, impact energy and other parameters to obtain the best performance and cost effectiveness. To sum up, forging design optimization needs to consider factors such as material selection, geometry, subsequent processing, structural optimization and process improvement in order to achieve the goal of improving performance and reducing cost. In practical applications, it can also be further optimized according to specific needs and experience.