Abhimanyu Chaudhari, Ashwani Sharma, M. Z. K. Yusufzai, M. Vashista
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The grindability performance and measurement of surface functional parameter capabilities of difficult-to-machine tool steel under tangential ultrasonic-vibration-assisted dry grinding
Abstract The grinding performance of the finished component is significantly affected by the consistency and durability of the grinding mode used in its formation. The current research attempted to evaluate the influence of worktable feed rate and ultrasonic vibration amplitude on grinding outcomes responses such as ground forces, ground surface morphology, surface roughness and topography, surface bearing index, core fluid retention index, grinding temperature, and chip morphology. Experimental works were performed on a setup that was indigenously developed and manufactured. Experiments were conducted on AISI D2 tool steel workpiece material under the tangential ultrasonic-vibration-assisted dry grinding (TUDG), common dry grinding (CDG), and common flood grinding (CFG) modes to compare the effectiveness of each mode in terms of the responses of the grinding outcomes. A comprehensive comparative analysis of each grinding mode is demonstrated, along with observations of changes in the output responses under the effect of the investigated grinding parameters. Findings showed that under identical conditions, the TUDG mode’s surface bearing index and core fluid retention index was higher than that of the CDG and CFG modes. To elucidate these findings. Besides, small, thin chips generated in TUDG mode indicate the ease of grinding of AISI D2 tool steel.
期刊介绍:
Machining Science and Technology publishes original scientific and technical papers and review articles on topics related to traditional and nontraditional machining processes performed on all materials—metals and advanced alloys, polymers, ceramics, composites, and biomaterials.
Topics covered include:
-machining performance of all materials, including lightweight materials-
coated and special cutting tools: design and machining performance evaluation-
predictive models for machining performance and optimization, including machining dynamics-
measurement and analysis of machined surfaces-
sustainable machining: dry, near-dry, or Minimum Quantity Lubrication (MQL) and cryogenic machining processes
precision and micro/nano machining-
design and implementation of in-process sensors for monitoring and control of machining performance-
surface integrity in machining processes, including detection and characterization of machining damage-
new and advanced abrasive machining processes: design and performance analysis-
cutting fluids and special coolants/lubricants-
nontraditional and hybrid machining processes, including EDM, ECM, laser and plasma-assisted machining, waterjet and abrasive waterjet machining