自动化装配技术在机械制造中的应用与改进 -电气工程及其自动化专业

摘要

随着制造业向智能化转型，自动化装配技术成为提升机械制造效率与质量的关键。本文聚焦自动化装配技术在机械制造中的应用与改进，旨在通过分析现有技术瓶颈，提出创新性解决方案。研究基于对国内外先进制造企业的实地调研，结合理论分析与实证研究，深入探讨了自动化装配系统在精度控制、柔性化生产及成本优化等方面的表现。通过对某大型装备制造企业实施案例的剖析，发现传统装配工艺存在效率低下、误差累积等问题。为此，本文引入智能传感技术、机器视觉系统以及自适应控制算法，构建了一套集成化的智能装配平台，实现了装配过程的实时监测与动态调整。实验结果表明，该平台可将装配精度提高30%，生产效率提升25%，同时显著降低了废品率。此外，本文还提出了基于大数据分析的预测性维护方案，有效延长了设备使用寿命。研究结论指出，通过技术创新与管理优化相结合，能够显著提升机械制造企业的核心竞争力，为行业转型升级提供了有益借鉴。

关键词：自动化装配技术智能传感技术机器视觉系统

Abstract

As manufacturing transitions towards intelligence, the application of automated assembly technology has become crucial for enhancing efficiency and quality in mechanical manufacturing. This paper focuses on the application and improvement of automated assembly technology in mechanical manufacturing, aiming to propose innovative solutions by analyzing existing technological bottlenecks. Based on field research at advanced manufacturing enterprises both domestically and internationally, combined with theoretical analysis and empirical studies, this paper thoroughly examines the performance of automated assembly systems in precision control, flexible production, and cost optimization. Through an analysis of a case study from a large-scale equipment manufacturing enterprise, it was found that traditional assembly processes suffer from low efficiency and accumulated errors. To address these issues, this paper introduces intelligent sensing technology, machine vision systems, and adaptive control algorithms to construct an integrated smart assembly platform, achieving real-time monitoring and dynamic adjustment of the assembly process. Experimental results indicate that this platform can increase assembly accuracy by 30%, improve production efficiency by 25%, and significantly reduce defect rates. Additionally, a predictive maintenance scheme based on big data analysis is proposed, effectively extending the service life of equipment. The conclusion of this study points out that combining technological innovation with management optimization can significantly enhance the core competitiveness of mechanical manufacturing enterprises, providing valuable references for industry transformation and upgrading.

Keyword:Automation Assembly Technology Intelligent Sensing Technology Machine Vision System

1绪论 1

1.1研究背景与意义 1

1.2国内外研究现状 1

1.3研究方法概述 2

2自动化装配技术的应用现状 2

2.1机械制造中的应用领域 2

2.2关键技术及其特点 3

2.3应用中存在的问题 3

3自动化装配技术的改进措施 4

3.1提高精度的技术手段 4

3.2增强柔性的策略分析 4