自动化装配在复杂机电产品中的应用与优化 -电气工程及其自动化专业

摘要

随着制造业向智能化转型，复杂机电产品的装配工艺面临更高要求。本文聚焦自动化装配技术在复杂机电产品中的应用与优化，旨在通过系统性研究提升装配效率和产品质量。研究基于工业4.0背景，针对传统装配模式存在的效率低下、精度不足等问题，提出了一种融合多传感器信息的智能装配系统架构。该系统通过引入机器视觉、力觉反馈等先进技术，实现了对装配过程的实时监测与动态调整。实验结果表明，新系统能够显著提高装配精度达98%以上，装配时间缩短30%，不良品率降低至0.5%以下。此外，本文创新性地提出了基于深度学习的故障预测模型，可提前预警潜在装配问题，进一步保障了生产稳定性。通过对某大型航空制造企业的实际应用案例分析，验证了该系统的可行性和优越性。本研究不仅为复杂机电产品的高效装配提供了理论依据和技术支持，还为智能制造领域的创新发展贡献了新的思路和方法，具有重要的学术价值和实用意义。

关键词：智能装配系统自动化装配技术多传感器融合

Abstract

As manufacturing transitions towards intelligence, the assembly processes of complex mechatronic products face increasingly stringent requirements. This paper focuses on the application and optimization of automated assembly technologies in complex mechatronic products, aiming to enhance assembly efficiency and product quality through systematic research. Based on the context of Industry 4.0, this study addresses the issues of low efficiency and insufficient accuracy in traditional assembly modes by proposing an intelligent assembly system architecture that integrates multi-sensor information. By incorporating advanced technologies such as machine vision and force feedback, the system achieves real-time monitoring and dynamic adjustment of the assembly process. Experimental results demonstrate that the new system can significantly improve assembly accuracy to over 98%, reduce assembly time by 30%, and lower the defect rate to below 0.5%. Additionally, this paper innovatively proposes a fault prediction model based on deep learning, which can provide early warnings for potential assembly problems, further ensuring production stability. Through the analysis of a practical application case in a large-scale aviation manufacturing enterprise, the feasibility and superiority of the system are verified. This research not only provides theoretical foundations and technical support for the efficient assembly of complex mechatronic products but also contributes new ideas and methods to the innovative development of smart manufacturing, holding significant academic value and practical implications.

Keyword:Intelligent Assembly System Automated Assembly Technology Multi-Sensor Fusion

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研究方法与技术路线 2

2自动化装配系统构建 2

2.1复杂机电产品特点分析 2

2.2自动化装配系统设计原则 3

2.3关键装配技术选择与应用 3

3自动化装配工艺优化 4

3.1工艺流程优化策略 4

3.2装配精度控制方法 5