Transactions of Materials and Heat Treatment

Title：Construction and analysis on forging production process model based on big data

Authors： Deng Shengbiao1 Zhang Hongtao2 Sun Yong1 Su Zining1 Ling Yunhan1

Unit： 1. Beijing Research Institute of Mechanical and Electrical Technology Ltd. Beijing 100083 China 2. Hubei Sanhuan Forging Co. Ltd. Xiangyang 441700 China

KeyWords： intelligence forging production process big data Kmeans

ClassificationCode：TP391.9

year,vol(issue):pagenumber：2019,44(5):174-179

Abstract：

Industrial big data in the forging production workshop is an important resource, which can reflect the status of the current forging production process in realtime. However, some forging production plants often have bottlenecks such as data collection and data utilization. For these problems, based on the new model of intelligent manufacturing, the data of forging fullprocess in realtime were collected, and the types of quality data affecting products were summarized. Furthermore, the influences of various factors on product quality were analyzed, and several main influencing factors in forging process were analyzed by a series of methods such as feature extraction. Based on the identification of several important factors affecting the data of forging process, the process for a certain situation was verified by the Kmeans algorithm, and an accurate production model was obtained.

Funds：

国家科技重大专项课题(2018ZX04024-001）

作者简介：邓盛彪（1994-），男，硕士研究生 Email：547100416@qq.com 通讯作者：孙勇（1971-），男，博士，研究员 Email：sun_yong_89@163.com

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