17 Papers
36 Citations
Da Qu is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Machining & Surface roughness. The author has an hindex of 5, co-authored 13 publications.
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Papers
Process optimization of high machining efficiency and low surface defects for HSD milling UD-CF/PEEK with limited thermal effect
TL;DR: Wang et al. as discussed by the authors proposed a process optimization method of high machining efficiency and low surface defects for high-speed dry (HSD) milling UD-CF/PEEK, based on analyzing the thermal effect of cutting temperature.
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Composite light ropes model-based dynamics force prediction model of high speed dry milling UD-CF/PEEK considering size effect
Yang Song,Da Qu,B. Wu,Huajun Cao +3 more
TL;DR: In this article , the authors presented composite light ropes model in machining composites considering size effect and showed that size effect is of great importance in establishing cutting force prediction model and revealing cutting mechanisms of carbon fiber reinforced polyetheretherketone (CF/PEEK).
20
Development of vibration-assisted micro-milling device and effect of vibration parameters on surface quality and exit-burr:
Guo Li,Bo Wang,Jiadai Xue,Da Qu,Peng Zhang +4 more
- 01 May 2019
TL;DR: Vibration assisted cutting is an important technology with better performance in manufacturing micro-scaled components, compared with conventional cutting technology as discussed by the authors. But, it is not suitable for small-scale components.
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Modeling and experimental study on the force of micro-milling titanium alloy based on tool runout
TL;DR: In this article, the milling force model is established for the micro-milling process with considering tool runout, undeformed chip thickness, tool slope angle, shear angle, friction angle, and equivalent rake angle.
17
Surface integrity optimization of high speed dry milling UD-CF/PEEK based on specific cutting energy distribution mechanisms effected by impact and size effect
TL;DR: In this article , an impact-based specific cutting energy (SCE) distribution prediction model of high speed dry (HSD) milling of carbon fiber-reinforced polymer (CFRP) composites is proposed.
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