Multi-Objective Optimization Design of Dual-Spindle Component Based on Coupled Thermal–Mechanical–Vibration Collaborative Analysis
Round 1
Reviewer 1 Report
Comments and Suggestions for Authors1- The tile of manuscript is too long.
2- The experimental works of study to validate the simulation should be added and discussed.
3- The results of experimental works and simulation should be compared.
Comments on the Quality of English LanguageThe English language of manuscript should be modified.
Author Response
Please review the uploaded attachment. Thank you very much.
Author Response File: Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for Authors1. Equation (1) cannot reflect the heat transfer law inside the component well. It is recommended to change the more appropriate formula.
2. The expression of the X vector in equation (12) only shows 5 design variables, which is inappropriate.
3. The explanation of symbols in equation (4) is not concise enough, it is recommended to simplify it appropriately.
4. In section 1, paragraph 8, it is mentioned that low order vibration is the main form of structural vibration, and the source of this viewpoint should be indicated here.
5. The spindle type and cooling method should be specified in the 5th paragraph of Section 2.
6. The positions of the names (a) and (b) in Figure 3 do not correspond to the corresponding images.
7. Is there a incorrect expression in the title of Figure 6 (a)? Please confirm.
8. Please verify and correct the word labeling after 24.82 in Figure 9 (a).
Author Response
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Author Response File: Author Response.pdf
Reviewer 3 Report
Comments and Suggestions for AuthorsThe paper introduces a multi-objective joint optimization method for CNC machine tools to enhance their thermal, static, and dynamic characteristics while achieving lightweight designs. The method involves coupled thermal-mechanical-vibration collaborative analysis and applies the optimization to the dual spindle component of a CNC machine tool. This method demonstrates the ability to improve multiple performance objectives simultaneously, offering a systematic approach for optimizing CNC machine tool components.
Questions:
1- Were there any trade-offs observed between lightweighting and mechanical stability during the optimization?
2- How scalable is this approach for industrial applications with larger or more complex CNC machine tools?
3- What computational resources were required for this multi-objective optimization? And how long did it take?
4- Please explain the rationale behind selection of the optimization method.
Author Response
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Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
Comments and Suggestions for AuthorsThe paper can be accepted.