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Optimization of multiple quality characteristics in bone drilling using grey relational analysis.

Rupesh Kumar Pandey¹, Sudhansu Sekhar Panda¹

¹Department of Mechanical Engineering, Indian Institute of Technology Patna, Patna 800013, India.

Journal of Orthopaedics

|April 2, 2015

Summary

This summary is machine-generated.

Optimizing bone drilling involves finding the best feed rate and spindle speed. A feed rate of 40 mm/min and spindle speed of 500 rpm minimize temperature, force, and surface roughness, reducing bone tissue injury.

Keywords:

Analysis of variance (ANOVA)Bone drilling Grey relational analysis (GRA)Optimization

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Area of Science:

Biomaterials Engineering
Orthopedic Surgery
Manufacturing Processes

Background:

Bone drilling is crucial for fracture fixation using implants like screws and plates.
Minimally invasive drilling techniques are increasingly important for enhanced bone healing and fixation.
Optimizing drilling parameters is essential to minimize thermal damage and improve surgical outcomes.

Purpose of the Study:

To determine optimal cutting conditions for minimizing temperature, force, and surface roughness during bone drilling.
To investigate the simultaneous optimization of multiple quality characteristics in bone drilling.
To reduce bone tissue injury through optimized drilling parameters.

Main Methods:

Performed drilling experiments on bovine bone using a full factorial design.
Utilized grey relational analysis (GRA) to determine the optimal drilling parameters based on grey relational grade (GRG).
Employed analysis of variance (ANOVA) to assess the influence of feed rate and spindle speed on GRG, validated by confirmation experiments.

Main Results:

The optimal drilling parameters identified were a feed rate of 40 mm/min and a spindle speed of 500 rpm.
These conditions yielded the highest grey relational grade, indicating simultaneous minimization of temperature, force, and surface roughness.
Feed rate (59.49%) had a greater impact than spindle speed (37.69%) on the overall performance characteristics.

Conclusions:

Grey relational analysis effectively simplifies multi-response optimization in bone drilling by providing a single performance index (GRG).
The recommended drilling parameters can significantly minimize bone tissue damage during surgical procedures.
This methodology offers a systematic approach to optimizing bone drilling for improved clinical results.