Haibo Liu, Lingqi Zeng, Chengxin Wang, Lingsheng Han, Pengchao Li, Y. Q. Wang
Improving the rigidity of the process system in the cutting region of thin-walled parts is a challenging problem to ensure machining accuracy. For limited structural space, the use of ice support is an effective method. However, ice and workpiece constitute a completely new process system, which generates a complex process response under milling forces. Based on the Kirchhoff-Love thin-wall small-deformation assumption and the Winkler model for describing the inverse support of ice on cylindrical shell thin-walled parts (CSTWP), a new prediction model is developed to predict the deflection of CSTWP under ice support. In the model, by introducing the displacement function in the form of annular triangular series, the analytical solution of the displacement is given for the cylindrical shell with non-simply supported edges at both ends under ice support. A finite element model for milling CSTWP under ice support is developed, which takes into account the nonlinear behavior of ice and the complex mechanical behavior of the ice/workpiece interface. Based on this finite element model and the corresponding milling experiments, the accuracy and validity of the established model are verified. The work provides a theoretical basis for the prediction of the deformation of CSTWP under ice support.
{"title":"Force-induced deformation mechanism for cylindrical shell thin-walled parts milling with ice supporting: Modelling and Prediction","authors":"Haibo Liu, Lingqi Zeng, Chengxin Wang, Lingsheng Han, Pengchao Li, Y. Q. Wang","doi":"10.1115/1.4064625","DOIUrl":"https://doi.org/10.1115/1.4064625","url":null,"abstract":"\u0000 Improving the rigidity of the process system in the cutting region of thin-walled parts is a challenging problem to ensure machining accuracy. For limited structural space, the use of ice support is an effective method. However, ice and workpiece constitute a completely new process system, which generates a complex process response under milling forces. Based on the Kirchhoff-Love thin-wall small-deformation assumption and the Winkler model for describing the inverse support of ice on cylindrical shell thin-walled parts (CSTWP), a new prediction model is developed to predict the deflection of CSTWP under ice support. In the model, by introducing the displacement function in the form of annular triangular series, the analytical solution of the displacement is given for the cylindrical shell with non-simply supported edges at both ends under ice support. A finite element model for milling CSTWP under ice support is developed, which takes into account the nonlinear behavior of ice and the complex mechanical behavior of the ice/workpiece interface. Based on this finite element model and the corresponding milling experiments, the accuracy and validity of the established model are verified. The work provides a theoretical basis for the prediction of the deformation of CSTWP under ice support.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140475067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Man Xu, Xinghui Han, Fang-yan Zheng, Lin Hua, Yan Zeng
Face gear drive has been widely investigated in the aviation field as a power split device on the helicopter main reducer. However, high-speed and heavy-load condition makes the face gear prone to tooth surface pitting, leading to deterioration of transmission performance. To improve the load-bearing capacity of face gear, this paper proposes a design and modification method based on gear skiving process for face gear drives. Firstly, gear skiving mathematical models for a face gear pair are established, and a continuously profile-shifted modification method is presented based on these mathematical models. Then, the load-bearing capacity of the modified face gear pair is minutely analyzed and discussed through contact analysis. The contact stress of the modified face gear is reduced by 47.78% on right side and 41.1% on left side compared with unmodified face gear. Finally, gear skiving experiments and meshing performance tests of face gear pairs are conducted. The measurement results show consistency with calculation results. Thus, the proposed design and continuously profile-shifted modification method based on gear skiving process is feasible and contributive in load-bearing capacity improvement.
{"title":"Design and manufacture method of aviation face gear with high load-bearing based on gear skiving process","authors":"Man Xu, Xinghui Han, Fang-yan Zheng, Lin Hua, Yan Zeng","doi":"10.1115/1.4064332","DOIUrl":"https://doi.org/10.1115/1.4064332","url":null,"abstract":"Face gear drive has been widely investigated in the aviation field as a power split device on the helicopter main reducer. However, high-speed and heavy-load condition makes the face gear prone to tooth surface pitting, leading to deterioration of transmission performance. To improve the load-bearing capacity of face gear, this paper proposes a design and modification method based on gear skiving process for face gear drives. Firstly, gear skiving mathematical models for a face gear pair are established, and a continuously profile-shifted modification method is presented based on these mathematical models. Then, the load-bearing capacity of the modified face gear pair is minutely analyzed and discussed through contact analysis. The contact stress of the modified face gear is reduced by 47.78% on right side and 41.1% on left side compared with unmodified face gear. Finally, gear skiving experiments and meshing performance tests of face gear pairs are conducted. The measurement results show consistency with calculation results. Thus, the proposed design and continuously profile-shifted modification method based on gear skiving process is feasible and contributive in load-bearing capacity improvement.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139171141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhi Zhang, Antony George, M. Alam, Christopher Eubel, C. Vallabh, M. Shtein, Kira Barton, David Hoelzle
This paper details the design and operation of a testbed to evaluate the concept of autonomous manufacturing to achieve a desired manufactured part performance specification. This testbed, the Autonomous Manufacturing System for Phononic Crystals (AMSPnC), is comprised of additive manufacturing, material transport, ultrasonic testing, and cognition subsystems. Critically, the AMSPnC exhibits common manufacturing deficiencies such as process operating window limits, process uncertainty, and probabilistic failure. A case study illustrates the AMSPnC function using a standard supervised learning model trained by printing and testing an array of 48 unique designs that span the allowable design space. Using this model, three separate performance specifications are defined and an optimization algorithm is applied to autonomously select three corresponding design sets to achieve the specified performance. Validation manufacturing and testing confirms that two of the three optimal designs, as defined by an objective function, achieve the desired performance, with the third being outside the design window in which a distinct bandpass is achieved in PnCs. Furthermore, across all samples, there is a marked difference between the observed bandpass characteristics and predictions from finite elements method computation, highlighting the importance of autonomous manufacturing for complex manufacturing objectives.
{"title":"An additive manufacturing testbed to evaluate machine learning based autonomous manufacturing","authors":"Zhi Zhang, Antony George, M. Alam, Christopher Eubel, C. Vallabh, M. Shtein, Kira Barton, David Hoelzle","doi":"10.1115/1.4064321","DOIUrl":"https://doi.org/10.1115/1.4064321","url":null,"abstract":"This paper details the design and operation of a testbed to evaluate the concept of autonomous manufacturing to achieve a desired manufactured part performance specification. This testbed, the Autonomous Manufacturing System for Phononic Crystals (AMSPnC), is comprised of additive manufacturing, material transport, ultrasonic testing, and cognition subsystems. Critically, the AMSPnC exhibits common manufacturing deficiencies such as process operating window limits, process uncertainty, and probabilistic failure. A case study illustrates the AMSPnC function using a standard supervised learning model trained by printing and testing an array of 48 unique designs that span the allowable design space. Using this model, three separate performance specifications are defined and an optimization algorithm is applied to autonomously select three corresponding design sets to achieve the specified performance. Validation manufacturing and testing confirms that two of the three optimal designs, as defined by an objective function, achieve the desired performance, with the third being outside the design window in which a distinct bandpass is achieved in PnCs. Furthermore, across all samples, there is a marked difference between the observed bandpass characteristics and predictions from finite elements method computation, highlighting the importance of autonomous manufacturing for complex manufacturing objectives.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139172107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An intelligent system for spatial visual feedback is presented, that enables the robot's autonomy for a range of robotic assembly tasks, in particular for arc-welding, in an unstructured and ‘fixtureless’ environment. The robot's autonomy is empowered by embedded inductive inference based machine learning module which learns a welded object's structural properties in the form of geometrical properties. In particular, the system tries to recognize line segments, using a spatial (3-Dimensional) visual sensor in order to autonomously execute the objective task. The innovative result is that the recognition of the geometric primitives is done without a predefined Computer Aided Design (CAD) model, significantly improving the system's autonomy and robustness. The system is validated on real-world welding tasks.
{"title":"Spatial Visual Feedback for Robotic Arc-Welding Enforced by Inductive Machine Learning","authors":"Goran D. Putnik, Petar B. Petrovic, Vaibhav Shah","doi":"10.1115/1.4064156","DOIUrl":"https://doi.org/10.1115/1.4064156","url":null,"abstract":"An intelligent system for spatial visual feedback is presented, that enables the robot's autonomy for a range of robotic assembly tasks, in particular for arc-welding, in an unstructured and ‘fixtureless’ environment. The robot's autonomy is empowered by embedded inductive inference based machine learning module which learns a welded object's structural properties in the form of geometrical properties. In particular, the system tries to recognize line segments, using a spatial (3-Dimensional) visual sensor in order to autonomously execute the objective task. The innovative result is that the recognition of the geometric primitives is done without a predefined Computer Aided Design (CAD) model, significantly improving the system's autonomy and robustness. The system is validated on real-world welding tasks.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139200555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. S. Dhami, Pritish Panda, Puli Saikiran, Richie Garg, Koushik Viswanathan
Research applications that rely on commercial directed energy deposition (DED) based metal additive manufacturing systems are commonly constrained by their inflexibility in handling various non-standard powders, lack of fine system control and inherent difficulty with sensor integration. In this work, we present the design of a sensing-integrated platform for metal additive manufacturing. A modular design allows easy modification of specific sub-systems, such as laser integration or powder delivery mechanisms, to enable capabilities that are difficult to realize with commercial systems. As an example, we demonstrate DED performance using non-conventional inexpensive powders produced via abrasion and water atomization techniques. System performance is evaluated using integrated sensors and complemented by numerical/ analytical calculations. Based on these results, a nominal operation map combining thermal field with powder flow is generated for determining process parameters suitable for a given material/build combination and can be generally applicable for any DED AM system. In addition to handling non-spherical and alternatively sourced powders, the system capabilities for printing multi-material complex contours are demonstrated.
基于商业定向能沉积（DED）技术的金属快速成型制造系统在研究应用中普遍受到以下限制：在处理各种非标准粉末时缺乏灵活性、缺乏精细的系统控制以及传感器集成的固有困难。在这项工作中，我们介绍了用于金属添加制造的传感集成平台的设计。通过模块化设计，可以轻松修改激光集成或粉末输送机制等特定子系统，从而实现商业系统难以实现的功能。举例来说，我们使用通过磨损和水雾化技术生产的非常规廉价粉末展示了 DED 的性能。我们使用集成传感器对系统性能进行了评估，并辅以数值/分析计算。在这些结果的基础上，生成了结合热场和粉末流动的额定运行图，用于确定适合给定材料/制造组合的工艺参数，并可普遍适用于任何 DED AM 系统。除了处理非球形和替代来源的粉末外，该系统还展示了打印多种材料复杂轮廓的能力。
{"title":"A sensing integrated metal additive manufacturing platform for exploring the use of non-standard powders","authors":"H. S. Dhami, Pritish Panda, Puli Saikiran, Richie Garg, Koushik Viswanathan","doi":"10.1115/1.4064157","DOIUrl":"https://doi.org/10.1115/1.4064157","url":null,"abstract":"Research applications that rely on commercial directed energy deposition (DED) based metal additive manufacturing systems are commonly constrained by their inflexibility in handling various non-standard powders, lack of fine system control and inherent difficulty with sensor integration. In this work, we present the design of a sensing-integrated platform for metal additive manufacturing. A modular design allows easy modification of specific sub-systems, such as laser integration or powder delivery mechanisms, to enable capabilities that are difficult to realize with commercial systems. As an example, we demonstrate DED performance using non-conventional inexpensive powders produced via abrasion and water atomization techniques. System performance is evaluated using integrated sensors and complemented by numerical/ analytical calculations. Based on these results, a nominal operation map combining thermal field with powder flow is generated for determining process parameters suitable for a given material/build combination and can be generally applicable for any DED AM system. In addition to handling non-spherical and alternatively sourced powders, the system capabilities for printing multi-material complex contours are demonstrated.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139202512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Tanrikulu, B. Farhang, Aditya Krishna Ganesh Ram, Hamidreza Hekmatjou, A. Amerinatanzi
Significant attention has been directed to the need for a strong and lightweight welding technology for joining the NiTi shape memory alloys (SMAs) to stainless steel (SS). Dissimilar NiTi/SS joints suffer from the brittle and inevitable intermetallic components (IMCs) like TiFe, TiFe2 and FeNi that are formed during the welding process. To tackle this challenge, this study explores the use of an engineered magnetic field during the dissimilar laser welding of NiTi to SS. The presence of a magnetic field delivered a remarkable improvement in tensile strength (over 452 MPa) of the joint with a notable difference in microstructure. The effect of the magnetic field on microstructure was investigated; material characterizations showed brittle IMC-free microstructure and a change in grain growth mechanism from columnar to cellular growth during the solidification. Further, fractography analysis proved a ductile failure mode at the joint.
将镍钛形状记忆合金（SMA）与不锈钢（SS）连接在一起的高强度、轻质焊接技术的需求受到了广泛关注。镍钛/不锈钢异种接头在焊接过程中会产生脆性和不可避免的金属间成分（IMC），如 TiFe、TiFe2 和 FeNi。为解决这一难题，本研究探索了在镍钛与 SS 异种激光焊接过程中使用工程磁场的方法。磁场的存在显著提高了接头的抗拉强度（超过 452 兆帕），同时微观结构也有明显的不同。研究了磁场对微观结构的影响；材料表征显示了无脆性 IMC 的微观结构，以及凝固过程中晶粒生长机制从柱状生长到蜂窝状生长的变化。此外，断口分析还证明了接头处的韧性破坏模式。
{"title":"Microstructure evaluation of magnetic field-assisted dissimilar laser welding of NiTi to stainless steel","authors":"A. Tanrikulu, B. Farhang, Aditya Krishna Ganesh Ram, Hamidreza Hekmatjou, A. Amerinatanzi","doi":"10.1115/1.4064158","DOIUrl":"https://doi.org/10.1115/1.4064158","url":null,"abstract":"Significant attention has been directed to the need for a strong and lightweight welding technology for joining the NiTi shape memory alloys (SMAs) to stainless steel (SS). Dissimilar NiTi/SS joints suffer from the brittle and inevitable intermetallic components (IMCs) like TiFe, TiFe2 and FeNi that are formed during the welding process. To tackle this challenge, this study explores the use of an engineered magnetic field during the dissimilar laser welding of NiTi to SS. The presence of a magnetic field delivered a remarkable improvement in tensile strength (over 452 MPa) of the joint with a notable difference in microstructure. The effect of the magnetic field on microstructure was investigated; material characterizations showed brittle IMC-free microstructure and a change in grain growth mechanism from columnar to cellular growth during the solidification. Further, fractography analysis proved a ductile failure mode at the joint.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139206923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laser-induced forward transfer (LIFT) is proposed as a highly efficient and high-resolution printing technique. Tilting of the microjet in the LIFT process affects the deposition deviation, lowing the printing resolution. We investigate the tilting behaviors of the metal microjet in the nanosecond LIFT process based on high-speed observation. Experiments were conducted on the copper film under different laser fluences. Observations based on the pump-probe method were performed to capture the ejection behavior of microjets. We find that the tilting direction is isotropic and the tilting angle follows Gaussian distribution. The tilting behavior originates from the disturbance of residual stress within the film during jet generation because the statistical results of the tilting angle hardly vary with the propagation time. In addition, the tilting angle is found to decrease linearly with the laser fluence due to the ejection velocity increasing at a higher rate than the lateral velocity. The lateral offset of the tilting microjet at different flight distances matches well with the position deviations, verifying the tilting behavior of the microjet. This study provides essential comprehension of the tilting behavior of metal microjet in the LIFT process.
{"title":"Tilting behaviors of metal microjet in laser-induced forward transfer","authors":"Di Wu, Yongxiang Hu, Guohu Luo, Yu Zhou","doi":"10.1115/1.4064072","DOIUrl":"https://doi.org/10.1115/1.4064072","url":null,"abstract":"Laser-induced forward transfer (LIFT) is proposed as a highly efficient and high-resolution printing technique. Tilting of the microjet in the LIFT process affects the deposition deviation, lowing the printing resolution. We investigate the tilting behaviors of the metal microjet in the nanosecond LIFT process based on high-speed observation. Experiments were conducted on the copper film under different laser fluences. Observations based on the pump-probe method were performed to capture the ejection behavior of microjets. We find that the tilting direction is isotropic and the tilting angle follows Gaussian distribution. The tilting behavior originates from the disturbance of residual stress within the film during jet generation because the statistical results of the tilting angle hardly vary with the propagation time. In addition, the tilting angle is found to decrease linearly with the laser fluence due to the ejection velocity increasing at a higher rate than the lateral velocity. The lateral offset of the tilting microjet at different flight distances matches well with the position deviations, verifying the tilting behavior of the microjet. This study provides essential comprehension of the tilting behavior of metal microjet in the LIFT process.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139264455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Decision support methods and tools have been developed to aid in improving product sustainability performance during design. However, these approaches are often developed for domain experts and not well-suited for non-expert decision makers (e.g., engineering students and engineering practitioners), who do not possess specialized knowledge in sustainability analysis of product designs and manufacturing processes. The objective of this research is to facilitate the sustainability performance analysis of manufacturing processes and systems through unit manufacturing process (UMP) modeling within an easy-to-use, publicly-available product design and manufacturing analysis tool. To achieve this objective, a sustainability assessment framework is developed that considers a cradle-to-gate life cycle scope. To implement this framework and to address the identified limitations of existing tools, a proof-of-concept Manufacturing Process and System (MaPS) Sustainability Analysis tool is developed as spreadsheet models in MS Excel, which supports evaluation of environmental, economic, and social impacts. While this study focuses on the technical aspects of the research, the authors investigate associated educational aspects in a separate study and report tool operational performance evaluation by undergraduate and graduate engineering students. Study participants found the tool easy-to-use and useful in completing sustainability assessment tasks in product design and manufacturing. To build upon this research, the developed framework and tool can be expanded to consider other phases of the product life cycle. Moreover, key software tool operational characteristics and GUI should be investigated to improve efficiency, effectiveness, satisfaction, and learnability of MaPS tool.
人们已经开发了决策支持方法和工具，以帮助在设计过程中提高产品的可持续性性能。然而，这些方法通常是为领域专家开发的，并不适合非专业决策者（如工程专业学生和工程从业人员），因为他们不具备产品设计和制造过程可持续性分析方面的专业知识。本研究的目标是通过在一个易于使用、可公开获取的产品设计和制造分析工具中建立单元制造过程（UMP）模型，促进制造过程和系统的可持续性绩效分析。为实现这一目标，我们开发了一个可持续性评估框架，该框架考虑了 "从摇篮到终点 "的生命周期范围。为了实施这一框架并解决现有工具的局限性，我们开发了一个概念验证型制造工艺和系统（MaPS）可持续性分析工具，作为 MS Excel 中的电子表格模型，支持对环境、经济和社会影响的评估。本研究侧重于研究的技术方面，而作者则在另一项研究中调查了相关的教育方面，并报告了本科生和工程研究生对工具操作性能的评价。研究参与者发现，该工具易于使用，在完成产品设计和制造的可持续性评估任务时非常有用。在这项研究的基础上，开发的框架和工具可以扩展到产品生命周期的其他阶段。此外，还应研究关键软件工具的操作特性和图形用户界面，以提高 MaPS 工具的效率、有效性、满意度和可学性。
{"title":"Manufacturing Process and System (MaPS) Sustainability Analysis Tool: A Proof-of-Concept for Teaching Sustainable Product Design and Manufacturing Engineering","authors":"Kamyar Raoufi, Karl R. Haapala","doi":"10.1115/1.4064071","DOIUrl":"https://doi.org/10.1115/1.4064071","url":null,"abstract":"Decision support methods and tools have been developed to aid in improving product sustainability performance during design. However, these approaches are often developed for domain experts and not well-suited for non-expert decision makers (e.g., engineering students and engineering practitioners), who do not possess specialized knowledge in sustainability analysis of product designs and manufacturing processes. The objective of this research is to facilitate the sustainability performance analysis of manufacturing processes and systems through unit manufacturing process (UMP) modeling within an easy-to-use, publicly-available product design and manufacturing analysis tool. To achieve this objective, a sustainability assessment framework is developed that considers a cradle-to-gate life cycle scope. To implement this framework and to address the identified limitations of existing tools, a proof-of-concept Manufacturing Process and System (MaPS) Sustainability Analysis tool is developed as spreadsheet models in MS Excel, which supports evaluation of environmental, economic, and social impacts. While this study focuses on the technical aspects of the research, the authors investigate associated educational aspects in a separate study and report tool operational performance evaluation by undergraduate and graduate engineering students. Study participants found the tool easy-to-use and useful in completing sustainability assessment tasks in product design and manufacturing. To build upon this research, the developed framework and tool can be expanded to consider other phases of the product life cycle. Moreover, key software tool operational characteristics and GUI should be investigated to improve efficiency, effectiveness, satisfaction, and learnability of MaPS tool.","PeriodicalId":507815,"journal":{"name":"Journal of Manufacturing Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139266341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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