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Project 05 of 07
18 March to 3 June 2026
Precision
turning
Precision Machining and Intelligent Manufacturing Technology
Teacher Xiaohu Wang
Individual report
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Turning
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Optimisation
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Tool wear
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Pareto front
I studied precision turning of AISI 1045 steel with in-process sensing and tool-wear prediction. I searched 648 cutting settings for the best balance of surface finish, speed and tool life, and then stress-tested my own answer.
+
01
648
settings evaluated
+
02
31
points on the Pareto front
+
03
225 m/min
0.10 mm/rev and 0.30 mm at the knee point
+
04
Ra 0.67 µm
and 24 min tool life at the knee
What
I did
01
Collected 180 development runs on 10 inserts.
02
Kept 60 test runs on 4 other inserts.
03
Compared learned models with a physics baseline.
04
Built the Pareto front and picked a knee point.
+ Honest result
Where it fell short
The physics baseline matched the learned models, and the remaining tool life was off by about 1.5 minutes. All 31 Pareto points sit at the smallest depth of cut. My knee point was chosen in only 3% of weighted draws, so I recommend the neighbouring region instead of that single point.
Fig. Line drawing of the setup