TY - JOUR
T1 - CNC Milling of Medical-Grade PMMA
T2 - Optimization of Material Removal Rate and Surface Roughness
AU - Wambua, Job Maveke
AU - Mwema, Fredrick M.
AU - Tanya, Buddi
AU - Jen, Tien Chien
PY - 2022/1/13
Y1 - 2022/1/13
N2 - This study evaluates CNC milling parameters (spindle speed, depth of cut, and feed rate) on medical-grade PMMA. A single objective analysis conducted showed that the optimal material removal rate (MRR) occurs at a spindle speed of 1250 rpm, a depth of cut of 1.2 mm, and a feed rate of 350 mm/min. The ANOVA showed that feed rate is the most significant factor towards the MRR, and spindle speed (11.83%) is the least contributing. The optimal surface roughness (Ra) occurred at spindle speed of 500 rpm, depth of cut of 1.2 mm, and feed rate of 200 mm/min. The milling factors were insignificant. A regression analysis for prediction was also conducted. Further, a multi-objective optimization was conducted using the grey relational analysis. It showed that the best trade-off between the MRR and the Ra could be obtained from a combination of 1250 rpm (spindle speed), 1.2 mm (depth of cut), and 350 mm/min (feed rate). The depth of cut was the largest contributor towards the grey relational grade (54.48%), followed by the feed rate (10.36%), and finally, the spindle speed (4.28%).
AB - This study evaluates CNC milling parameters (spindle speed, depth of cut, and feed rate) on medical-grade PMMA. A single objective analysis conducted showed that the optimal material removal rate (MRR) occurs at a spindle speed of 1250 rpm, a depth of cut of 1.2 mm, and a feed rate of 350 mm/min. The ANOVA showed that feed rate is the most significant factor towards the MRR, and spindle speed (11.83%) is the least contributing. The optimal surface roughness (Ra) occurred at spindle speed of 500 rpm, depth of cut of 1.2 mm, and feed rate of 200 mm/min. The milling factors were insignificant. A regression analysis for prediction was also conducted. Further, a multi-objective optimization was conducted using the grey relational analysis. It showed that the best trade-off between the MRR and the Ra could be obtained from a combination of 1250 rpm (spindle speed), 1.2 mm (depth of cut), and 350 mm/min (feed rate). The depth of cut was the largest contributor towards the grey relational grade (54.48%), followed by the feed rate (10.36%), and finally, the spindle speed (4.28%).
KW - ANOVA
KW - Depth of Cut
KW - Feed Rate
KW - Grey Relational Analysis
KW - Multi-Objective
KW - Optimal
KW - S/N Ratio
KW - Spindle Speed
UR - http://www.scopus.com/inward/record.url?scp=85142247737&partnerID=8YFLogxK
U2 - 10.4018/IJMMME.293226
DO - 10.4018/IJMMME.293226
M3 - Article
AN - SCOPUS:85142247737
VL - 12
SP - 1
EP - 15
JO - International Journal of Manufacturing, Materials, and Mechanical Engineering
JF - International Journal of Manufacturing, Materials, and Mechanical Engineering
SN - 2156-1680
IS - 1
M1 - 26
ER -