轻合金大型一体化结构部件压铸成形技术研究进展
Research Progress in Die-casting Technology for Large-scale Integrated Structural Components of Light Alloy
查敏 1顾焘 1马品奎 1陈豫增 2姜巨福 3贾海龙 1王成刚 4邓彦超 5李进步 5王一男 4宋家旺 1王慧远6
作者信息
- 1. 吉林大学材料科学与工程学院,长春 130022
- 2. 西北工业大学凝固技术国家重点实验室,西安 710072;苏州匀晶金属科技有限公司,苏州 215000
- 3. 哈尔滨工业大学材料科学与工程学院,哈尔滨 150001
- 4. 一汽铸造有限公司,长春 130012
- 5. 宁波赛维达技术股份有限公司,宁波 315800
- 6. 吉林大学材料科学与工程学院,长春 130022;河北工业大学材料科学与工程学院,天津 300131
- 折叠
摘要
铝、镁等轻质合金成为取代钢质材料的理想选材,同时一体化压铸技术的开发及应用有助于实现轻量化.目前可用于车身结构件的铝、镁合金材料有限,且以热处理态的铝合金为主,因此,开发免热处理态的高强韧铝合金具有重要的工程应用价值.大型一体化压铸技术正处于起步阶段,其结构件的设计及其与车身结构的连接、大型压铸装备开发及智能化、模具开发及工艺等方面同样存在重大挑战.此外,镁合金的一体化压铸技术目前处于研究阶段,极具轻量化应用前景.针对近年来一体化压铸铝、镁合金及大型一体化结构部件压铸成形技术进行归纳总结,旨在为一体化压铸大型复杂车身结构件研发提供参考.
Abstract
Al and Mg lightweight alloys are becoming ideal materials instead of steel,while the development and appli-cation of integrated die-casting technology also helps to achieve lightweight.Due to the restricted materials available for body structural parts,which is dominated by heat-treated aluminum alloys,the development of heat treatment-free alu-minum alloys with high strength and toughness has an important value for engineering applications.Large-scale inte-grated die-casting technology is in the infancy,and there exists a number of major technical challenges,such as the design of structural parts and connection with the body structure,large-scale die-casting equipment development and intelligent,as well as the development of molds and process.In addition,the integrated die-casting technology of Mg alloy is currently in the research stage,which has great potential for lightweight applications.The die casting forming technology of integrated die-casting Al and Mg alloys as well as large-scale integrated structural components in recent years was mainly reviewed,providing reference for the research and development of integrated die-casting large and complex vehicle body structural components.
关键词
一体化压铸/轻量化/铝合金Key words
Integrated Die Casting/Lightweight/Aluminum Alloys引用本文复制引用
基金项目
国家重点研发计划资助项目(2022YFB3404202)
出版年
2024
NETL
NSTL
万方数据