Investigation on Milling Quality of Stone–Plastic Composite Using Response Surface Methodology

A study on the GA-BP neural network model for surface roughness of basswood-veneered medium-density fiberboard

(2020) Xizhi Wu et al.   HOLZFORSCHUNG

High-quality and high-efficiency machining of stone-plastic composite with diamond helical cutters

(2020) Zhaolong Zhu et al.   Journal of Manufacturing Processes

Effect of rake angle on cutting performance during machining of stone-plastic composite material with polycrystalline diamond cutters

(2019) Pingxiang Cao et al.   Journal of Mechanical Science and Technology

Machinability of Stone—Plastic Materials During Diamond Planing

(2019) Zhaolong Zhu et al.   Applied Sciences-Basel

Effect of Cutting Speed on Machinability of Stone–Plastic Composite Material

(2019) Zhaolong Zhu et al.   Science of Advanced Materials

Influences of up-milling and down-milling on surface integrity and fatigue strength of X160CrMoV12 steel

(2019) Adnen Laamouri et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Performance of stone-plastic composites with different mix ratios during orthogonal cutting

(2019) Zhaolong Zhu et al.   Materials Express

Modeling and predicting of the color changes of wood surface during CO 2 laser modification

(2018) Rongrong Li et al.   JOURNAL OF CLEANER PRODUCTION

Measurement of surface roughness of metals using binary speckle image analysis

(2009) Ersin Kayahan et al.   TRIBOLOGY INTERNATIONAL

Feasibility assessment of vision-based surface roughness parameters acquisition for different types of machined specimens

(2008) Ghassan A. Al-Kindi et al.   IMAGE AND VISION COMPUTING

Modelling the influence of machined surface roughness on the fatigue life of aluminium alloy

(2008) M SURARATCHAI et al.   INTERNATIONAL JOURNAL OF FATIGUE

Response surface methodology (RSM) as a tool for optimization in analytical chemistry

(2008) Marcos Almeida Bezerra et al.   TALANTA