Results 11 to 20 of about 930,385 (313)
Chemosensors, 2022 It is well-known that aviation alloys of different grades show large differences in mechanical properties. At present, alloys must be strictly distinguished in the manufacturing plant because their close appearance and density are easily confused In this
Haorong Guo +4 more
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Milling Tool Wear Prediction Method Based on Deep Learning Under Variable Working Conditions
IEEE Access, 2020 Tool wear prediction is essential to ensure part quality and machining efficiency. Tool wear is affected by factors such as the material, structure, process, and processing time of the parts.
Mingwei Wang +4 more
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Chatter reliability prediction of side milling blisk
Xibei Gongye Daxue Xuebao, 2021 During the blisk side milling, the blade is thin and the tool suspension length is large, which is easy to occur milling system chatter. The wavy surface left by chatter has great effect on the surface roughness and service performance of the aero-engine
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Tool Wear Monitoring for Complex Part Milling Based on Deep Learning
Applied Sciences, 2020 Tool wear monitoring is necessary for cost reduction and productivity improvement in the machining industry. Machine learning has been proven to be an effective means of tool wear monitoring.
Xiaodong Zhang +3 more
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Effects of biofuels properties on aircraft engine performance [PDF]
, 2015 Purpose-The purpose of this paper is to examine the effects of heat capacity and density of biofuels on aircraft engine performance indicated by thrust and fuel consumption.
Kipouros, Timos +2 more
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Applied Sciences, 2023 Trochoidal milling is an efficient strategy for the rough machining of difficult-to-cut materials. The true trochoidal toolpath has C2 continuity and avoids sharp changes in engagement angle and cutting load, resulting in smooth machine tool movement ...
Xu Zhou +4 more
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Energy Consumption Modeling for EDM Based on Material Removal Rate
IEEE Access, 2020 In recent years, the energy problem has caused widespread concern in the manufacturing industry. The energy consumption in traditional turning and milling processes has been widely studied.
Mo Yang +3 more
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Surrogate modeling based cognitive decision engine for optimization of WLAN performance [PDF]
, 2017 Due to the rapid growth of wireless networks and the dearth of the electromagnetic spectrum, more interference is imposed to the wireless terminals which constrains their performance. In order to mitigate such performance degradation, this paper proposes
Chemmangat, Krishnan +9 more
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Recursive least squares for online dynamic identification on gas turbine engines [PDF]
, 2016 Online identification for a gas turbine engine is vital for health monitoring and control decisions because the engine electronic control system uses the identified model to analyze the performance for optimization of fuel consumption, a response to ...
Nalianda, Devaiah +2 more
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Xibei Gongye Daxue Xuebao, 2022 抛光力是影响百页轮柔性抛光表面质量和效率的关键参数, 而百页轮和工件的法向位移是影响抛光力的直接因素, 因此建立二者的关系模型十分重要和必要。根据百页轮结构特性建立了其表面磨粒分布函数; 基于弹塑性接触理论得到单颗磨粒作用时抛光力和工件变形量的表达式, 并根据百页轮表面磨粒分布函数建立了抛光力和法向位移的关系模型; 通过仿真和实验对所建立关系模型进行验证。结果表明: 该关系模型可较好地体现柔性抛光过程中抛光力和法向位移的对应关系。
ZHANG Junfeng +3 more
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