通过使用响应表面方法的多参数优化来减少CNC木材加工中的噪声污染
1Department of Occupational Health and Safety Engineering, Faculty of Health, University of Medical Science, Ilam, Iran.
PloS one
|December 15, 2025
概括
优化CNC木材加工的加工参数可以显著降低噪声污染水平 (NPL). 这项研究使用响应表面方法和遗传算法来找到最佳设置,提高木工环境中的工人安全.
科学领域:
- 工程 工程师 工程师 工程师
- 职业健康 职业健康 职业健康
- 声学 声学 在声学方面
背景情况:
- 计算机数控 (CNC) 木制机提高生产率,但产生过度的噪音污染,造成健康风险.
- 在木材加工环境中,职业噪音暴露是一个重大问题.
研究的目的:
- 为了研究加工参数对数控木材加工中的噪声污染水平 (NPL) 的影响.
- 优化CNC木材加工参数,以最大限度地减少噪声排放,提高工人的安全.
主要方法:
- 使用 Box-Behnken Design (BBD) 的响应表面方法 (RSM) 基于切割速度,料速率,切割深度和跨度来建模NPL.
- 进行了包括ANOVA和回归建模在内的统计分析.
- 用基因算法 (GA) 来优化已识别的参数.
主要成果:
- 噪音污染水平 (NPL) 在97.4dB到103.8dB之间,超过NIOSH建议的85dB的极限.
- 切割速度,料速度和切割深度显著影响了NPL (p < 0.05).
- 优化的参数预测了NPL降低96.2dB,实验验证为95.8dB.
结论:
- 加工参数的优化有效地减少了CNC木材削中的NPL.
- 综合RSM和GA方法提供了一种可靠的方法,以尽量减少职业噪音暴露.
- 这项研究有助于提高木材加工行业的工人安全.
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