Eco-design for Additive Manufacturing： Knowledge-driven Framework and Applications

doi:10.3969/j.issn.1004-132X.2026.04.002

China Mechanical Engineering ›› 2026, Vol. 37 ›› Issue (4): 780-791.DOI: 10.3969/j.issn.1004-132X.2026.04.002

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Eco-design for Additive Manufacturing： Knowledge-driven Framework and Applications

WANG Yanan¹(), PENG Tao¹^,²(), XIONG Yi³, WANG Liming⁴, TANG Yunlong⁵^,⁶, TANG Renzhong¹

^1.School of Mechanical Engineering，Zhejiang University，Hangzhou，310058
^2.Zhejiang Key Laboratory of Additive Manufacturing Technology and Equipment，Zhejiang University，Hangzhou，310058
^3.School of Automation and Intelligent Manufacturing，Southern University of Science and Technology，Shenzhen，Guangdong，518055
^4.School of Mechanical Engineering，Shandong University，Jinan，250061
^5.Mechanical and Aerospace Engineering Department，Monash University，Melbourne，3800
^6.Materials Science and Engineering Department，Monash University，Melbourne，3800

Received:2025-06-16 Online:2026-04-25 Published:2026-05-11
Contact: PENG Tao

面向增材制造的生态设计：知识驱动的技术框架与应用

王亚男¹(), 彭涛¹^,²(), 熊异³, 王黎明⁴, 唐云龙⁵^,⁶, 唐任仲¹

^1.浙江大学机械工程学院, 杭州, 310058
^2.浙江大学全省增材制造技术与装备重点实验室, 杭州, 310058
^3.南方科技大学自动化与智能制造学院, 深圳, 518055
^4.山东大学机械工程学院, 济南, 250061
^5.莫纳什大学机械与航空工程系, 墨尔本, 3800
^6.莫纳什大学材料科学与工程系, 墨尔本, 3800

通讯作者: 彭涛
作者简介:王亚男，女，1995年生，博士研究生。研究方向为机械产品生态设计、增材制造、全生命周期评估等。E-mail：leahwang@zju.edu.cn
彭涛*（通信作者），男，1984年生，副教授、博士。研究方向为绿色制造、智能制造系统、制造数据模型、3D打印技术、云制造等。E-mail：tao_peng@zju.edu.cn。
基金资助:
国家重点研发计划(2024YFB3311202)

Abstract

Abstract:

To support designers in developing environmentally sustainable components fabricated by additive manufacturing， the concept of eco-design for additive manufacturing（EcoDfAM） was clarified， and a body of knowledge required in EcoDfAM was constructed. A knowledge-driven EcoDfAM framework was proposed based on knowledge by integrating multiple intelligent technologies. This framework consisted of three layers： knowledge source layer， knowledge model layer， design application layer. Taking the valve body parts of a hydraulic system in the aircraft wing that were printed using the metal powder bed fusion technology as an example， the application analysis and discussion of the proposed framework were carried out. The results show that the framework integrating ontology， machine learning， knowledge graph may effectively integrate the complex multi-domain professional knowledge required by EcoDfAM， and generate eco-design recommendations through flexible reuse of knowledge. This study may be used to develop intelligent design advisor systems， providing appropriate knowledge feedback in different design stages to guide designers， effectively improving the efficiency and quality during the eco-design processes of parts fabricated by additive manufacturing.

Key words: eco-design, design for additive manufacturing, knowledge modelling, design recommendation

摘要：

为了开发具有环境可持续性的增材制造零部件，明确了面向增材制造的生态设计（EcoDfAM）概念内涵及所需知识体系，并融合多种智能技术，提出了一种知识驱动的EcoDfAM技术框架，该框架共三层，即知识来源层、知识模型层、设计服务层。以金属粉床熔融制造的飞机机翼处液压系统阀体零件为例，对所提框架进行了应用分析与讨论，结果表明，所提的融合本体、机器学习、知识图谱等技术的框架能够有效整合EcoDfAM所需的多领域复杂专业知识，并通过灵活重用知识产生生态设计推荐方案。该研究可用于开发智能设计顾问系统，通过在不同设计阶段提供合适的知识指导设计师，有效提高增材制造零部件生态设计过程的效率和质量。

关键词: 生态设计, 面向增材制造的设计, 知识建模, 设计推荐

CLC Number:

TH122

WANG Yanan, PENG Tao, XIONG Yi, WANG Liming, TANG Yunlong, TANG Renzhong. Eco-design for Additive Manufacturing： Knowledge-driven Framework and Applications[J]. China Mechanical Engineering, 2026, 37(4): 780-791.

王亚男, 彭涛, 熊异, 王黎明, 唐云龙, 唐任仲. 面向增材制造的生态设计：知识驱动的技术框架与应用[J]. 中国机械工程, 2026, 37(4): 780-791.

Figures/Tables 25

References 22

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来源	结构	存在形式	获取方式	技术
数据库	结构化	显性	数据-知识映射	DM、R2RML
文本手册	非结构化	显性	三元组抽取	命名实体识别，DeepDive
专家	非结构化	隐性	专家访谈
案例	半结构化	隐性	知识挖掘	实体链接、规则挖掘

来源	结构	存在形式	获取方式	技术
数据库	结构化	显性	数据-知识映射	DM、R2RML
文本手册	非结构化	显性	三元组抽取	命名实体识别，DeepDive
专家	非结构化	隐性	专家访谈
案例	半结构化	隐性	知识挖掘	实体链接、规则挖掘

类	概念实体
设计概念类	材料类型，晶胞类型，胞体杆直径，胞体杆长度，体积分数，体心立方、面心立方
增材制造概念类	零件质量，屈服强度，最大变形
环境概念类	燃料排放，碳排放

类	概念实体
设计概念类	材料类型，晶胞类型，胞体杆直径，胞体杆长度，体积分数，体心立方、面心立方
增材制造概念类	零件质量，屈服强度，最大变形
环境概念类	燃料排放，碳排放

阶段	生态设计需求			推荐结果
阶段	设计任务	AM技术	环境目标	推荐结果
概念	材料选择	PBF	降低原料碳排放	316L不锈钢
结构	壳体晶格结构设计	PBF，钢	提高轻量化水平	体心立方FCC
细节	层厚优化	AM250，316L钢	满足强度和表面质量前提下降低打印能耗	0.05 mm

Eco-design for Additive Manufacturing： Knowledge-driven Framework and Applications

面向增材制造的生态设计：知识驱动的技术框架与应用

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Figures/Tables 25

References 22

Related Articles 15

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Metrics

生命周期		材料选择任务		壳体晶格结构设计任务		层厚优化任务
生命周期		对照方案	推荐方案	对照方案	推荐方案	对照方案	推荐方案
原料获取	板材生产过程	7.63	5.08	4.58	3.92	3.92	3.92
原料获取	雾化制粉过程	65.88	7.75	6.99	5.97	5.97	5.97
零件制造	打印过程	417.19	147.48	133.13	113.73	113.73	95.78
零件制造	后处理过程	0.52	0.91	0.82	0.70	0.70	0.70
阀体服役	运行过程	0.53	1.56	1.41	1.20	1.20	1.20
回收处理	浪费处理过程	<0.01	<0.01	<0.01	<0.01	<0.01	<0.01

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