Mathew Baby, Akshay Guptan, Jacob Broussard, J. Allen, F. Mistree, Anand Balu Nellippallil
Design of a manufacturing supply network (MSN) requires the consideration of decisions made by different groups at multiple levels and their interactions that include potential conflicts. Decisions are typically made based on information from computational simulations that are abstractions of reality and, therefore, embody uncertainty. This necessitates focusing on design space exploration to identify robust satisficing solution sets that are relatively insensitive to uncertainty. Current frameworks that support robust satisficing design space exploration are limited by their capability to support the efficient exploration of multilevel design spaces simultaneously. In this paper, we present the Framework for Robust Multilevel Co-Design Exploration (FRoMCoDE), a decision support framework that allows designers to i) model decision problems across multiple levels and their interactions, ii) consider uncertainties in the decision problems, and ii) visualize and systematically carry out simultaneous exploration of multilevel design spaces, termed co-design exploration. In FRoMCoDE, we combine the coupled compromise Decision Support Problem construct, where a combination of the Preemptive and Archimedean formulations is used, with robust design constructs and interpretable-Self Organizing Maps (iSOM) based visualization to facilitate robust co-design. We use a steel MSN problem with decisions made at two levels to test the framework. Using the problem, we demonstrate FRoMCoDE's efficacy in supporting designers in i) modeling multilevel decision problems and their interactions, considering the uncertainties, and ii) the efficient co-design exploration of multilevel design spaces. FRoMCoDE is generic and supports designers in the robust co-design exploration of multilevel systems.
{"title":"A Decision Support Framework for Robust Multilevel Co-Design Exploration of Manufacturing Supply Networks","authors":"Mathew Baby, Akshay Guptan, Jacob Broussard, J. Allen, F. Mistree, Anand Balu Nellippallil","doi":"10.1115/1.4065369","DOIUrl":"https://doi.org/10.1115/1.4065369","url":null,"abstract":"\u0000 Design of a manufacturing supply network (MSN) requires the consideration of decisions made by different groups at multiple levels and their interactions that include potential conflicts. Decisions are typically made based on information from computational simulations that are abstractions of reality and, therefore, embody uncertainty. This necessitates focusing on design space exploration to identify robust satisficing solution sets that are relatively insensitive to uncertainty. Current frameworks that support robust satisficing design space exploration are limited by their capability to support the efficient exploration of multilevel design spaces simultaneously. In this paper, we present the Framework for Robust Multilevel Co-Design Exploration (FRoMCoDE), a decision support framework that allows designers to i) model decision problems across multiple levels and their interactions, ii) consider uncertainties in the decision problems, and ii) visualize and systematically carry out simultaneous exploration of multilevel design spaces, termed co-design exploration. In FRoMCoDE, we combine the coupled compromise Decision Support Problem construct, where a combination of the Preemptive and Archimedean formulations is used, with robust design constructs and interpretable-Self Organizing Maps (iSOM) based visualization to facilitate robust co-design. We use a steel MSN problem with decisions made at two levels to test the framework. Using the problem, we demonstrate FRoMCoDE's efficacy in supporting designers in i) modeling multilevel decision problems and their interactions, considering the uncertainties, and ii) the efficient co-design exploration of multilevel design spaces. FRoMCoDE is generic and supports designers in the robust co-design exploration of multilevel systems.","PeriodicalId":506672,"journal":{"name":"Journal of Mechanical Design","volume":"103 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140669959","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}
The objective of this research is to understand how different representations of requirements influence idea generation in terms of quantity, addressment, novelty, and variety of conceptual sketches. Requirements are testable statements of need, desires, and wishes of the stakeholders that are used by engineers to frame the problem. Project success is highly dependent on well-defined requirements documents. An experimental study was conducted with 52 fourth year mechanical engineering undergraduate students. Two design problems were formulated with three different representations: a problem statement with embedded requirements, a problem statement and a traditional requirement list, and a problem statement with contextualized scrum stories. Each student was provided both design problems with two different representations of requirements. It was found that the use of contextualized scrum story representations significantly affected the novelty of solution fragments and addressment of requirements, while no significant change in variety and quantity was seen. Finally, it was found that quantity is not directly related to the number of requirements addressed in the sketches.
{"title":"EXPLORING THE INFLUENCE OF REQUIREMENT REPRESENTATION ON IDEA GENERATION","authors":"Akash Patel, Joshua Summers, Beshoy Morkos, Sourabh Karmakar","doi":"10.1115/1.4065368","DOIUrl":"https://doi.org/10.1115/1.4065368","url":null,"abstract":"\u0000 The objective of this research is to understand how different representations of requirements influence idea generation in terms of quantity, addressment, novelty, and variety of conceptual sketches. Requirements are testable statements of need, desires, and wishes of the stakeholders that are used by engineers to frame the problem. Project success is highly dependent on well-defined requirements documents. An experimental study was conducted with 52 fourth year mechanical engineering undergraduate students. Two design problems were formulated with three different representations: a problem statement with embedded requirements, a problem statement and a traditional requirement list, and a problem statement with contextualized scrum stories. Each student was provided both design problems with two different representations of requirements. It was found that the use of contextualized scrum story representations significantly affected the novelty of solution fragments and addressment of requirements, while no significant change in variety and quantity was seen. Finally, it was found that quantity is not directly related to the number of requirements addressed in the sketches.","PeriodicalId":506672,"journal":{"name":"Journal of Mechanical Design","volume":"68 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140667917","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}
This work focuses on the synthesis of non-redundant planar kinematic chains applied to parallel manipulators, where the mobility of the kinematic chains is constrained by the planar workspace, allowing for kinematic chains with up to 3 degrees of freedom. The synthesis process consists of two stages. First, a graph generator enumerates non-isomorphic biconnected graphs representing planar kinematic chains with up to 3 degrees of freedom and 7 loops. Subsequently, graphs associated to chains with rigid subchains are removed using a degeneracy identification method based on matroid theory. Concise results are presented for chains with up to five loops. For chains with 6 and 7 loops, results are categorized based on link partitions, for a direct comparison with previous results. These findings align with prior research, with minor variations in the reported chain numbers. These variations can be attributed to several factors, including graph generation, isomorphism testing, fractionation, and subchain identification. These factors are comprehensively discussed and examined.
{"title":"Structural synthesis of planar kinematic chains for non-redundant parallel manipulators","authors":"F. V. Morlin, Andrea Piga carboni, D. Martins","doi":"10.1115/1.4065317","DOIUrl":"https://doi.org/10.1115/1.4065317","url":null,"abstract":"\u0000 This work focuses on the synthesis of non-redundant planar kinematic chains applied to parallel manipulators, where the mobility of the kinematic chains is constrained by the planar workspace, allowing for kinematic chains with up to 3 degrees of freedom. The synthesis process consists of two stages. First, a graph generator enumerates non-isomorphic biconnected graphs representing planar kinematic chains with up to 3 degrees of freedom and 7 loops. Subsequently, graphs associated to chains with rigid subchains are removed using a degeneracy identification method based on matroid theory. Concise results are presented for chains with up to five loops. For chains with 6 and 7 loops, results are categorized based on link partitions, for a direct comparison with previous results. These findings align with prior research, with minor variations in the reported chain numbers. These variations can be attributed to several factors, including graph generation, isomorphism testing, fractionation, and subchain identification. These factors are comprehensively discussed and examined.","PeriodicalId":506672,"journal":{"name":"Journal of Mechanical Design","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698900","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}
Danial Khatamsaz, Raymundo Arróyave, Douglas L. Allaire
Resource management in engineering design seeks to optimally allocate while maximizing the performance metrics of the final design. Bayesian optimization (BO) is an efficient design framework that judiciously allocates resources through heuristic-based searches, aiming to identify the optimal design region with minimal experiments. Upon recommending a series of experiments or tasks, the framework anticipates their completion to augment its knowledge repository, subsequently guiding its decisions toward the most favorable next steps. However, when confronted with time constraints or other resource challenges, bottlenecks can hinder the traditional BO’s ability to assimilate knowledge and allocate resources with efficiency. In this work, we introduce an asynchronous learning framework designed to utilize idle periods between experiments. This model adeptly allocates resources, capitalizing on lower fidelity experiments to gather comprehensive insights about the target objective function. Such an approach ensures that the system progresses uninhibited by the outcomes of prior experiments, as it provisionally relies on anticipated results as stand-ins for actual outcomes. We initiate our exploration by addressing a basic problem, contrasting the efficacy of asynchronous learning against traditional synchronous multi-fidelity BO. We then employ this method to a practical challenge: optimizing a specific mechanical characteristic of a dual-phase steel.
工程设计中的资源管理旨在优化分配，同时最大限度地提高最终设计的性能指标。贝叶斯优化（BO）是一种高效的设计框架，它通过启发式搜索明智地分配资源，旨在以最少的实验确定最佳的设计区域。在推荐一系列实验或任务时，该框架会预测这些实验或任务的完成情况，以扩充其知识库，从而引导其决策朝着最有利的下一步发展。然而，当遇到时间限制或其他资源挑战时，瓶颈就会阻碍传统 BO 吸收知识和高效分配资源的能力。在这项工作中，我们引入了一个异步学习框架，旨在利用实验之间的空闲时间。该模型善于分配资源，利用低保真实验来收集有关目标函数的全面见解。这种方法可确保系统不受先前实验结果的影响，因为它暂时依赖预期结果作为实际结果的替身。我们首先探讨了一个基本问题，即异步学习与传统同步多保真度 BO 的功效对比。然后，我们将这种方法用于一项实际挑战：优化双相钢的特定机械特性。
{"title":"Asynchronous Multi-Information Source Bayesian Optimization","authors":"Danial Khatamsaz, Raymundo Arróyave, Douglas L. Allaire","doi":"10.1115/1.4065064","DOIUrl":"https://doi.org/10.1115/1.4065064","url":null,"abstract":"\u0000 Resource management in engineering design seeks to optimally allocate while maximizing the performance metrics of the final design. Bayesian optimization (BO) is an efficient design framework that judiciously allocates resources through heuristic-based searches, aiming to identify the optimal design region with minimal experiments. Upon recommending a series of experiments or tasks, the framework anticipates their completion to augment its knowledge repository, subsequently guiding its decisions toward the most favorable next steps. However, when confronted with time constraints or other resource challenges, bottlenecks can hinder the traditional BO’s ability to assimilate knowledge and allocate resources with efficiency. In this work, we introduce an asynchronous learning framework designed to utilize idle periods between experiments. This model adeptly allocates resources, capitalizing on lower fidelity experiments to gather comprehensive insights about the target objective function. Such an approach ensures that the system progresses uninhibited by the outcomes of prior experiments, as it provisionally relies on anticipated results as stand-ins for actual outcomes. We initiate our exploration by addressing a basic problem, contrasting the efficacy of asynchronous learning against traditional synchronous multi-fidelity BO. We then employ this method to a practical challenge: optimizing a specific mechanical characteristic of a dual-phase steel.","PeriodicalId":506672,"journal":{"name":"Journal of Mechanical Design","volume":"48 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140726232","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}
Cable-driven serial robots have emerged with high potential for widely applications due to their compact size and low inertia properties. However, developing this type of robots encounters a motion coupling issue that the movement of one joint leads to motion of other joints, resulting in complex control. In this paper, we proposed a novel approach for motion decoupling based on a noncircular pulley. The length change of the driving cable caused by the motion coupling problem is resolved by using the noncircular pulley. The calculation process of the profile for the noncircular pulley is illustrated in detail. An optimization process based on brute force method is presented to identify the optimal parameters to minimize the compensation error. A cable-driven serial robot based on the decoupling method is prototyped for assessments. Experiments are conducted to evaluate the performance of the proposed motion decoupling method. The results reveal that the proposed method can effectively resolve the motion coupling issue by maintaining almost constant cable length with a maximum accumulative error only as 0.086mm, demonstrating the effectiveness of the method.
{"title":"Development and Optimization of a Noncircular Pulley for Motion Decoupling in Cable-Driven Serial Robots","authors":"Jinsai Cheng, Tao Shen","doi":"10.1115/1.4065278","DOIUrl":"https://doi.org/10.1115/1.4065278","url":null,"abstract":"\u0000 Cable-driven serial robots have emerged with high potential for widely applications due to their compact size and low inertia properties. However, developing this type of robots encounters a motion coupling issue that the movement of one joint leads to motion of other joints, resulting in complex control. In this paper, we proposed a novel approach for motion decoupling based on a noncircular pulley. The length change of the driving cable caused by the motion coupling problem is resolved by using the noncircular pulley. The calculation process of the profile for the noncircular pulley is illustrated in detail. An optimization process based on brute force method is presented to identify the optimal parameters to minimize the compensation error. A cable-driven serial robot based on the decoupling method is prototyped for assessments. Experiments are conducted to evaluate the performance of the proposed motion decoupling method. The results reveal that the proposed method can effectively resolve the motion coupling issue by maintaining almost constant cable length with a maximum accumulative error only as 0.086mm, demonstrating the effectiveness of the method.","PeriodicalId":506672,"journal":{"name":"Journal of Mechanical Design","volume":"9 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140738887","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}
Concept selection is one of the most important activities in new product development processes in that it greatly influences the direction of subsequent design activities. As a complex multiple-criteria decision-making problem, it often requires iterations before reaching the final decision where each selection is based on previous selection results. Reusing key decision elements ensures decision consistency between iterations and improves decision efficiency. To support this reuse, this paper proposes a fuzzy ontology-based decision tool for concept selection. It models the key decision elements and their relations in an ontological way and scores the concepts using weighted fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution). By applying the tool to an example, this paper demonstrates how the concepts, criteria, weights and results generated for one decision can be reused in the next iteration.
{"title":"A fuzzy ontology-based decision tool for concept selection to maintain consistency throughout design iterations","authors":"Yan Liu, Xinru Chen, Claudia M. Eckert, Xin Zhang","doi":"10.1115/1.4065256","DOIUrl":"https://doi.org/10.1115/1.4065256","url":null,"abstract":"\u0000 Concept selection is one of the most important activities in new product development processes in that it greatly influences the direction of subsequent design activities. As a complex multiple-criteria decision-making problem, it often requires iterations before reaching the final decision where each selection is based on previous selection results. Reusing key decision elements ensures decision consistency between iterations and improves decision efficiency. To support this reuse, this paper proposes a fuzzy ontology-based decision tool for concept selection. It models the key decision elements and their relations in an ontological way and scores the concepts using weighted fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution). By applying the tool to an example, this paper demonstrates how the concepts, criteria, weights and results generated for one decision can be reused in the next iteration.","PeriodicalId":506672,"journal":{"name":"Journal of Mechanical Design","volume":"5 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140748475","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}
Weiming Guo, Hong Xiao, Hongwei Guo, Jianguo Tao, Zongquan Deng, Chuanyang Li
The truss static structure system has excellent large load and lightweight characteristics. It is easy to embed actuators by substituting specific members in the structure and has the potential for multi-dimensional space deformation. Inspired by uniform tessellation structures, this paper proposes a novel shape morphing mechanism (SMM) based on the combined design of tetrahedral-octahedral heterogeneous units (TOHUs). The relationship between the motion properties and driving configuration of the tetrahedral-octahedral units is analyzed to determine their conceptual configuration based on graph theory. Then, the weighted graph, adjacency matrix, and connection rules are evaluated to synthesize the conceptual structure for the truss mechanism. The results show that this configuration can allow multi-dimensional continuous deformations, including span, bend, sweep, and twist. A prototype is built to verify its deformability. Finally, the stiffness performance is analyzed based on Matrix displacement method. This research provides a comprehensive design method for constructing SMM, expands the range of combinable units and connection methods, and offers theoretical guidance for the innovative design of multi-dimensional deformation SMM in aerospace.
{"title":"Conceptual Configuration Analysis of Tetrahedral-Octahedral Heterogeneous Unit and Topological Design of Shape Morphing Mechanism","authors":"Weiming Guo, Hong Xiao, Hongwei Guo, Jianguo Tao, Zongquan Deng, Chuanyang Li","doi":"10.1115/1.4065231","DOIUrl":"https://doi.org/10.1115/1.4065231","url":null,"abstract":"\u0000 The truss static structure system has excellent large load and lightweight characteristics. It is easy to embed actuators by substituting specific members in the structure and has the potential for multi-dimensional space deformation. Inspired by uniform tessellation structures, this paper proposes a novel shape morphing mechanism (SMM) based on the combined design of tetrahedral-octahedral heterogeneous units (TOHUs). The relationship between the motion properties and driving configuration of the tetrahedral-octahedral units is analyzed to determine their conceptual configuration based on graph theory. Then, the weighted graph, adjacency matrix, and connection rules are evaluated to synthesize the conceptual structure for the truss mechanism. The results show that this configuration can allow multi-dimensional continuous deformations, including span, bend, sweep, and twist. A prototype is built to verify its deformability. Finally, the stiffness performance is analyzed based on Matrix displacement method. This research provides a comprehensive design method for constructing SMM, expands the range of combinable units and connection methods, and offers theoretical guidance for the innovative design of multi-dimensional deformation SMM in aerospace.","PeriodicalId":506672,"journal":{"name":"Journal of Mechanical Design","volume":"143 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140754633","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}
Taisei Kii, K. Yaji, K. Fujita, Zhenghui Sha, Carolyn Seepersad
Topology optimization is one of the most flexible structural optimization methodologies. However, in exchange for its high level of design freedom, typical topology optimization cannot avoid multimodality, where multiple local optima exist. This study focuses on developing a gradient-free topology optimization framework to avoid being trapped in undesirable local optima. Its core is a data-driven multifidelity topology design (MFTD) method, in which the design candidates generated by solving low-fidelity topology optimization problems are updated through a deep generative model and high-fidelity evaluation. As its key component, the deep generative model compresses the original data into a low-dimensional manifold, i.e., the latent space, and randomly arranges new design candidates over the space. Although the original framework is gradient-free, its randomness may lead to convergence variability and premature convergence. Inspired by a popular crossover operation of evolutionary algorithms (EAs), this study merges the data-driven MFTD framework and proposes a new crossover operation called latent crossover. We apply the proposed method to a maximum stress minimization problem in 2D structural mechanics. The results demonstrate that the latent crossover improves convergence stability compared to the original data-driven MFTD method. Furthermore, the optimized designs exhibit performance comparable to or better than that in conventional gradient-based topology optimization using the P-norm measure.
{"title":"Latent crossover for data-driven multifidelity topology design","authors":"Taisei Kii, K. Yaji, K. Fujita, Zhenghui Sha, Carolyn Seepersad","doi":"10.1115/1.4064979","DOIUrl":"https://doi.org/10.1115/1.4064979","url":null,"abstract":"\u0000 Topology optimization is one of the most flexible structural optimization methodologies. However, in exchange for its high level of design freedom, typical topology optimization cannot avoid multimodality, where multiple local optima exist. This study focuses on developing a gradient-free topology optimization framework to avoid being trapped in undesirable local optima. Its core is a data-driven multifidelity topology design (MFTD) method, in which the design candidates generated by solving low-fidelity topology optimization problems are updated through a deep generative model and high-fidelity evaluation. As its key component, the deep generative model compresses the original data into a low-dimensional manifold, i.e., the latent space, and randomly arranges new design candidates over the space. Although the original framework is gradient-free, its randomness may lead to convergence variability and premature convergence. Inspired by a popular crossover operation of evolutionary algorithms (EAs), this study merges the data-driven MFTD framework and proposes a new crossover operation called latent crossover. We apply the proposed method to a maximum stress minimization problem in 2D structural mechanics. The results demonstrate that the latent crossover improves convergence stability compared to the original data-driven MFTD method. Furthermore, the optimized designs exhibit performance comparable to or better than that in conventional gradient-based topology optimization using the P-norm measure.","PeriodicalId":506672,"journal":{"name":"Journal of Mechanical Design","volume":"86 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140080130","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}
The Editor and Editorial Board of the Journal of Mechanical Design would like to thank all of the reviewers for volunteering their expertise and time reviewing manuscripts in 2023. Serving as reviewers for the journal is a critical service necessary to maintain the quality of our publication and to provide the authors with a valuable peer review of their work. Below is a complete list of reviewers for 2023. We would also like to acknowledge four outstanding Reviewers of the Year and seven Reviewers with Distinction.
{"title":"2023 Reviewers with Distinction Award","authors":"Carolyn Seepersad","doi":"10.1115/1.4064783","DOIUrl":"https://doi.org/10.1115/1.4064783","url":null,"abstract":"\u0000 The Editor and Editorial Board of the Journal of Mechanical Design would like to thank all of the reviewers for volunteering their expertise and time reviewing manuscripts in 2023. Serving as reviewers for the journal is a critical service necessary to maintain the quality of our publication and to provide the authors with a valuable peer review of their work. Below is a complete list of reviewers for 2023. We would also like to acknowledge four outstanding Reviewers of the Year and seven Reviewers with Distinction.","PeriodicalId":506672,"journal":{"name":"Journal of Mechanical Design","volume":"48 49","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139961387","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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