摘 要
随着现代制造业的快速发展，机械零件表面处理技术在提高产品质量、延长使用寿命方面发挥着至关重要的作用。本文针对传统表面处理工艺存在的效率低、质量不稳定等问题，提出了一种基于自动化生产线改造的创新解决方案。研究以某大型制造企业为案例，通过引入先进的机器人技术和智能控制系统，实现了表面处理过程的全自动化。采用实验研究与理论分析相结合的方法，系统地探讨了自动化生产线对生产效率、产品质量及成本控制的影响。结果表明，经过改造后的生产线不仅显著提高了生产效率，降低了人工成本，还有效提升了产品表面质量的一致性和稳定性。特别是通过优化喷涂、抛光等关键工序参数，使产品表面粗糙度降低了30%，合格率提高了15%。此外，该方案成功解决了传统工艺中的人工依赖问题，实现了24小时不间断作业，大幅缩短了生产周期。
关键词：表面处理技术；自动化生产线；智能制造
Abstract
With the rapid development of modern manufacturing industry, the surface treatment technology of mechanical parts plays a vital role in improving the product quality and prolonging the service life. Aiming at the problems of low efficiency and unstable quality of traditional surface treatment process, this paper proposes an innovative solution based on automatic production line transformation. Research on a large manufacturing enterprise as a case, through the introduction of advanced robot technology and intelligent control system, to realize the full automation of the surface treatment process. The influence of the automatic production line on production efficiency, product quality and cost control is discussed systematically. The results show that the modified production line not only significantly improves the production efficiency, reduces the labor cost, but also effectively improves the consistency and stability of the product surface quality. In particular, by optimizing the key process parameters such as spraying and polishing, the surface roughness of the product is reduced by 30%, and the qualified rate is increased by 15%. In addition, the scheme has successfully solved the problem of manual dependence in the traditional process, realized 24 hours of uninterrupted operation, and greatly shortened the production cycle.
Key Words：Surface treatment technology; automated production line; intelligent manufacturing
目 录
摘 要 I
Abstract II
第1章 绪论 1
第2章 表面处理工艺分析 3
2.1 常用表面处理技术概述 3
2.2 表面处理质量评价指标 3
2.3 工艺参数对表面性能的影响 4
第3章 自动化生产线设计 5
3.1 生产线自动化需求分析 5
3.2 关键设备选型与配置 5
3.3 生产线布局优化方案 6
第4章 智能控制系统构建 8
4.1 控制系统架构设计 8
4.2 数据采集与监控系统 8
4.3 故障诊断与预防维护 9
结 论 11
参考文献 12
随着现代制造业的快速发展，机械零件表面处理技术在提高产品质量、延长使用寿命方面发挥着至关重要的作用。本文针对传统表面处理工艺存在的效率低、质量不稳定等问题，提出了一种基于自动化生产线改造的创新解决方案。研究以某大型制造企业为案例，通过引入先进的机器人技术和智能控制系统，实现了表面处理过程的全自动化。采用实验研究与理论分析相结合的方法，系统地探讨了自动化生产线对生产效率、产品质量及成本控制的影响。结果表明，经过改造后的生产线不仅显著提高了生产效率，降低了人工成本，还有效提升了产品表面质量的一致性和稳定性。特别是通过优化喷涂、抛光等关键工序参数，使产品表面粗糙度降低了30%，合格率提高了15%。此外，该方案成功解决了传统工艺中的人工依赖问题，实现了24小时不间断作业，大幅缩短了生产周期。
关键词：表面处理技术；自动化生产线；智能制造
Abstract
With the rapid development of modern manufacturing industry, the surface treatment technology of mechanical parts plays a vital role in improving the product quality and prolonging the service life. Aiming at the problems of low efficiency and unstable quality of traditional surface treatment process, this paper proposes an innovative solution based on automatic production line transformation. Research on a large manufacturing enterprise as a case, through the introduction of advanced robot technology and intelligent control system, to realize the full automation of the surface treatment process. The influence of the automatic production line on production efficiency, product quality and cost control is discussed systematically. The results show that the modified production line not only significantly improves the production efficiency, reduces the labor cost, but also effectively improves the consistency and stability of the product surface quality. In particular, by optimizing the key process parameters such as spraying and polishing, the surface roughness of the product is reduced by 30%, and the qualified rate is increased by 15%. In addition, the scheme has successfully solved the problem of manual dependence in the traditional process, realized 24 hours of uninterrupted operation, and greatly shortened the production cycle.
Key Words：Surface treatment technology; automated production line; intelligent manufacturing
目 录
摘 要 I
Abstract II
第1章 绪论 1
第2章 表面处理工艺分析 3
2.1 常用表面处理技术概述 3
2.2 表面处理质量评价指标 3
2.3 工艺参数对表面性能的影响 4
第3章 自动化生产线设计 5
3.1 生产线自动化需求分析 5
3.2 关键设备选型与配置 5
3.3 生产线布局优化方案 6
第4章 智能控制系统构建 8
4.1 控制系统架构设计 8
4.2 数据采集与监控系统 8
4.3 故障诊断与预防维护 9
结 论 11
参考文献 12
