Influence of AA7075 crystallographic orientation on micro-grinding force

Zhao, Man; Ji, Xia; Liang, Steven Y.

doi:10.1177/0954405418803706

Cited by 9 publications

(5 citation statements)

References 28 publications

(28 reference statements)

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“…After milling with different thickness, four kinds of AA7075T6 specimens were obtained with the Taylor factors 5.60, 8.44, 9.11, and 9.75 respectively. 15…”

Section: Methodsmentioning

confidence: 99%

Multi-objective parametric optimization for high surface quality and process efficiency in micro-grinding

Wang

Zhao

et al. 2020

Measurement and Control

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In this study, for the selection of maximum material removal rate and minimum surface roughness [Formula: see text] in micro-grinding of aluminum alloy through multi-response optimization, two optimization approaches are proposed based on statistical analysis and genetic algorithm. The statistical analysis–based approach applies response surface methodology according to the analysis of variance to propose a mathematical model for [Formula: see text]. In addition, the individual desirability of material removal rate, [Formula: see text], and the global desirability function are calculated, and the inverse analysis is conducted to locate input setting giving maximum desirability function. The genetic algorithm–based approach uses the improved multi-objective particle swarm optimization with the experimental data trained by support vector machine. To demonstrate that the material microstructure is a significant parameter for material removal rate and [Formula: see text], the models with and without Taylor factor consideration are developed and compared. The optimized results achieved from both response surface methodology and improved multi-objective particle swarm optimization demonstrate that the consideration of Taylor factor can significantly improve the optimization process to achieve the maximum material removal rate and minimum [Formula: see text].

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“…After milling with different thickness, four kinds of AA7075T6 specimens were obtained with the Taylor factors 5.60, 8.44, 9.11, and 9.75 respectively. 15…”

Section: Methodsmentioning

confidence: 99%

Multi-objective parametric optimization for high surface quality and process efficiency in micro-grinding

Wang

Zhao

et al. 2020

Measurement and Control

Self Cite

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“…The main dislocation mechanism of BCC metals is to overcome the obstacles caused by Peire-Nabarro internal stress; their thermal activation area is independent of strain, and their yield stress is mainly affected by the strain rate effect and temperature effect [29]. Since the magnitude of the flow stress essentially corresponds to the performance of the material in impeding dislocation movement, it is classified as [30]:…”

Section: Classical Crystal Plasticity Theorymentioning

confidence: 99%

Investigation of the Flow Stress Model for Cr4Mo4V Bearing Steel under Ultrasonic Vibration Conditions

Luan,

Zhao,

Mao

et al. 2024

Metals

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To investigate the mechanisms behind the effect of ultrasonic vibration on the plastic deformation of materials, the flow stress model of Cr4Mo4V was established according to the dislocation dynamics and thermal activation theory, which considers the effect of dislocation density evolution on plastic deformation under ultrasonic vibration conditions. The effect of amplitude and strain rate on the flow stress was analyzed by fitting the stress-strain data obtained from an ultrasonic vibration-assisted tensile (UVAT) single-factor test. To investigate the influence of strain rate and vibration duration on the acoustic effect, comparative tests with and without vibration were performed for various strain rates. The results showed that the flow stress decreased significantly in the tensile test with ultrasound compared to the test without ultrasound, and the degree of reduction increased with increasing amplitude. In addition, the nonlinear relationship between the acoustic softening effect and the strain rate was analyzed. The result demonstrates that the dislocation density absorbs the ultrasonic vibration energy, which results in slip and proliferation. Macroscopically, due to a greater susceptibility to plastic deformation, the dislocation density shows residual hardening at the end of the ultrasound. Finally, the average absolute relative error (AARE) between predicted flow stresses and experimental results under three ultrasonic conditions using the developed model were 4.49%, 1.27%, and 5.64%, which proved the validity of the model.

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“…In addition, the surface morphology of the 20% pre-deformed 7050 aluminum alloy was worse than that of the other two crystal orientation 7050 aluminum alloys. Due to the difference of crystal orientations, the generation and movement of dislocations and the limitation of grain boundaries during the cutting process were different [9,13], which leads to a change in elastic-plastic deformation properties and differences in surface morphology.…”

Section: Surface Topography At Different Cutting Depthsmentioning

confidence: 99%

“…The findings showed grain size and grain orientation had considerable effects on the specimen machinability. Zhao M et al [13] prefabricated four AA7075 aluminum alloys, investigated the influence of crystal orientation on the grinding force, and established a micro-grinding force prediction model. Ayed Y et al [14] performed a cutting simulation on Ti17 and investigated the effect of crystal orientation on chip formation and cutting force evolution.…”

Section: Introductionmentioning

confidence: 99%

An Investigation of the High-Speed Machinability of 7050 Aluminum Alloy Based on Different Prefabricated Crystal Orientations

Ni,

Lu,

Wang

et al. 2023

Lubricants

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This study investigated the high-speed cutting performance of 7050 aluminum alloy with prefabricated crystal orientations under dry-cutting conditions. Three specimens with different crystal orientations were prefabricated using pre-deformations of 10, 15, and 20%, and the effects of cutting parameters on cutting force, surface morphology, and tool wear were analyzed. The results showed that the three-dimensional cutting force initially increased and then decreased with the increase in cutting speed. In addition, the three-dimensional cutting force increased with the increase in cutting depth and feed rate. Under the same cutting parameters, the three-dimensional cutting force of 7050 aluminum alloy was in the following order: 20% pre-deformation > 10% pre-deformation > 15% pre-deformation. During high-speed cutting, different degrees of plowing, bulging, and sticky chips appeared on the machined surface, and the surface morphology of the 15% pre-deformed 7050 aluminum alloy was better than that of the other two pre-deformed 7050 aluminum alloys. During the high-speed cutting process, tool wear mainly occurred in the forms of collapse edge, adhesion, flaking, and breakage, and wear mechanisms were usually adhesive, diffusion, and oxidation wears. Under the same cutting parameters, the tool wear of the 15% pre-deformed 7050 aluminum alloy was lighter.

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Influence of AA7075 crystallographic orientation on micro-grinding force

Cited by 9 publications

References 28 publications

Multi-objective parametric optimization for high surface quality and process efficiency in micro-grinding

Multi-objective parametric optimization for high surface quality and process efficiency in micro-grinding

Investigation of the Flow Stress Model for Cr4Mo4V Bearing Steel under Ultrasonic Vibration Conditions

An Investigation of the High-Speed Machinability of 7050 Aluminum Alloy Based on Different Prefabricated Crystal Orientations

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