Reconstruction of AI-enabled Mechanical Transmission Technology Paradigm: Bottleneck Breakthrough and the Evolution of an Independent Innovation System

doi:10.3901/JME.260370

Abstract

Abstract: As the “functional cornerstone” of high-end equipment, the technological level of mechanical transmission directly determines the performance and reliability of critical equipment in strategic domains such as aerospace and humanoid robotics. Enhancing its independent innovation capacity is an urgent requirement for national modernization and industrial upgrading. This paper systematically reviews the current status and trends of cutting-edge technologies in the mechanical transmission field, focusing on five core dimensions: materials, design, manufacturing, testing, and intelligent operation & maintenance (O&M). It identifies key bottleneck problems and core developmental challenges currently constraining deeper technological advancement and industrial upgrading. To break through long-standing technical bottlenecks and dilemmas, this study proposes a breakthrough pathway centered on constructing a synergistic innovation system encompassing the entire chain of materials, design, manufacturing, testing, and O&M. This pathway fosters an innovation-driven ecosystem by integrating Material Genome Initiative-enabled design, independent configuration innovation, digital twin-based process optimization, and closed-loop feedback from intelligent O&M data. Characterized by the synergistic evolution towards " high-end, intelligent, and greening," this new technological paradigm aims to propel the high-end transmission industry towards a strategic pivot from passive substitution to active leadership. It not only focuses on overcoming critical performance bottlenecks such as power density, dynamic accuracy, and service reliability but also deeply integrates artificial intelligence and advanced materials technology to systematically reconstruct the technological system for the innovative development of mechanical transmission. Provide a core technological foundation for the transformation and upgrading of the manufacturing industry.

Key words: mechanical transmission, technical bottleneck, synergistic innovation system, artificial intelligence

CLC Number:

TH132

WANG Shuxin, WEI Jing, CHEN Siyu, TANG Minghai. Reconstruction of AI-enabled Mechanical Transmission Technology Paradigm: Bottleneck Breakthrough and the Evolution of an Independent Innovation System[J]. Journal of Mechanical Engineering, 2026, 62(7): 150-168.

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URL: http://www.cjmenet.com.cn/EN/10.3901/JME.260370

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