Mingcong Li, Shudong Zhao, Heng Li, Yun Huang, Lai Zou, Wenxi Wang
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On Energy Assessment of Titanium Alloys Belt Grinding Involving Abrasive Wear Effects
Abstract Improved energy utilisation, precision, and quality are critical in the current trend of low-carbon green manufacturing. In this study, three abrasive belts were prepared at various wear stages and characterised quantitatively. The effects of abrasive belt wear on the specific grinding energy partition were investigated by evaluating robotic belt grinding of titanium plates. A specific grinding energy model based on subdivided tangential forces of cutting and sliding was developed for investigating specific energy and energy utilisation coefficient E UC . The surface morphology and Abbott–Firestone curves of the belts were introduced to analyse the experimental findings from the perspective of the micro cutting behaviour. The specific grinding energy increased with abrasive belt wear, especially when the belt was near the end of its life. Moreover, the belt wear could lead to a predominance change of sliding and chip formation energy. The highest E UC was observed in the middle of the belt life because of its retained sharp cutting edge and uniform distribution of the grit protrusion height. This study provides guidance for balancing the energy consumption and energy utilization efficiency of belt grinding.
期刊介绍:
Chinese Journal of Mechanical Engineering (CJME) was launched in 1988. It is a peer-reviewed journal under the govern of China Association for Science and Technology (CAST) and sponsored by Chinese Mechanical Engineering Society (CMES).
The publishing scopes of CJME follow with:
Mechanism and Robotics, including but not limited to
-- Innovative Mechanism Design
-- Mechanical Transmission
-- Robot Structure Design and Control
-- Applications for Robotics (e.g., Industrial Robot, Medical Robot, Service Robot…)
-- Tri-Co Robotics
Intelligent Manufacturing Technology, including but not limited to
-- Innovative Industrial Design
-- Intelligent Machining Process
-- Artificial Intelligence
-- Micro- and Nano-manufacturing
-- Material Increasing Manufacturing
-- Intelligent Monitoring Technology
-- Machine Fault Diagnostics and Prognostics
Advanced Transportation Equipment, including but not limited to
-- New Energy Vehicle Technology
-- Unmanned Vehicle
-- Advanced Rail Transportation
-- Intelligent Transport System
Ocean Engineering Equipment, including but not limited to
--Equipment for Deep-sea Exploration
-- Autonomous Underwater Vehicle
Smart Material, including but not limited to
--Special Metal Functional Materials
--Advanced Composite Materials
--Material Forming Technology.