en.Wedoany.com Reported - Wu Kai, an operator at the CNC Machining Center of the Mechanical Engineering Department of AVIC Taihang, has been deeply engaged in the production frontline for over 30 years. Rising from a technical school graduate, he has become the Chief Skill Expert of AVIC, a Model Worker of Shanxi Province, a National Technical Expert, and an Outstanding Communist Party Member of Central Enterprises.
After graduating from junior high school, Wu Kai was admitted to Taihang Technical School and entered Taihang with the top score in the lathe operation major. Upon completing his one-year apprenticeship, he participated in the company's technical competition and won first place in milling operations twice consecutively. At the age of 22, he became the company's youngest senior milling worker. In 1998, the company introduced CNC equipment, and Wu Kai was selected as one of the first operators of the machining center. At that time, CNC machining technology was in its infancy, lacking mature operation templates and professional talent, requiring repeated exploration to solve precision machining challenges.

In 2001, Wu Kai won first place in the company's machining center competition for three consecutive years and also claimed the championship in the North China regional technical competition of the group company. In 2004, after the company introduced a five-axis machining center, Wu Kai established a five-axis machining center editing room. Through self-study, he achieved breakthroughs in five-axis spatial machining technology and programming levels, laying the foundation for completing the instrument processing tasks for the "Shenzhou" series spacecraft. His self-designed and manufactured technical innovations, such as the "tool setter" and "adjustable angle parallel block," have been widely applied. Four of his innovations, including the "machine vise adjustable positioning jaw," have obtained national patents. He was awarded the title of "Shanxi Province Technical Innovation Expert" and the "Outstanding Contribution Award for Serving the Country through Aviation."
Wu Kai innovated the "ultra-thin wall part machining method," solving the challenge of machining cavity parts with a wall thickness of 0.1mm on a substrate with a thickness of 10mm and the size of a one-yuan coin. This part requires precision light guide grooves to be machined on the thin wall. Through repeated research and breakthroughs, he turned the impossible into reality.
Wu Kai created the "spatial integrated bidirectional multi-axis machining" technology, overcoming the five-axis surface machining challenge of the key model "pressure sensing system." This achieved a complete connection between external machining hole positions and internal three-dimensional pneumatic hole systems, ensuring the accuracy of spatial aerodynamic data collection for fighter jets. He also innovated the "hyperbolic surface machining technology," controlling the tolerance of hundreds of control points on fuselage components within 0.05mm, increasing the part qualification rate from 30% to 100%. This process was incorporated into the company's procedural documents for promotion.

Through self-study, Wu Kai mastered multiple CNC programming software, achieving the transition from manual programming to automatic programming for three- to five-axis machining centers. He broke through several CNC machining technical bottlenecks, with the four-axis linkage machining technology and five-axis five-linkage machining technology alone saving the company 3 million yuan. At the age of 36, he became the company's youngest senior CNC technician, and in 2011, he was rated as the "Chief Skill Expert" of the group company's machining center.
Wu Kai has trained over 200 trainees and mentored 26 apprentices, eight of whom have become company technicians, chief technicians, group special-grade skill experts, or senior engineers. His model worker innovation studio team has refined more than 20 innovative technical achievements, applied for six national patents, and published eight professional papers in national-level journals.

This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com









