Stefania Chirico Scheele, M. Hoque, G. Christopher, P. Egan
{"title":"Printability and Fidelity of Protein-Enriched 3D Printed Foods: A Case Study Using Cricket and Pea Protein Powder","authors":"Stefania Chirico Scheele, M. Hoque, G. Christopher, P. Egan","doi":"10.1115/detc2021-67783","DOIUrl":"https://doi.org/10.1115/detc2021-67783","url":null,"abstract":"\u0000 3D food printing has received high attention in personalized meal production and customized food designs in recent years due to its potential advantages over traditional food manufacturing methods. A current challenge in 3D food printing is the design of extrudable food materials that enable customized shape fabrication and retention. Additives such as starches and gums have been employed to improve food printability, however, these often detrimentally affect taste, texture, and nutrients. Our study explores the printability and shape fidelity of mashed potatoes when adding protein-rich cricket and pea protein powders. Different percentages of these additives (5%, 15%, and 30%) with varied water to protein ratios (0, 1, 2, and 3) were added to 100g of mashed potatoes. Mashed potatoes with the addition of cricket powder and pea powder provided the highest fidelity prints for water to additive ratios of 2 and 3, respectively. Rheological testing demonstrated these high-fidelity prints had complex modulus values ranging from 15Pa to 25Pa. Trade-offs were explored between print fidelity, complex modulus, and protein content for mashed potatoes with cricket protein that highlighted the relative trade-offs in 3D food printing recipes. These findings demonstrate that a design space including shape fidelity, printability, and nutritional profile provides rich trade-offs for promoting user satisfaction and health, thereby providing designers new opportunities to leverage 3D food printing to provide value for consumer needs and health.","PeriodicalId":318534,"journal":{"name":"Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129020553","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}
{"title":"A Reusable Unit Process Life Cycle Inventory Model for Infeed Centerless Grinding","authors":"M. Glišić, B. Veluri, Devarajan Ramanujan","doi":"10.1115/detc2021-69609","DOIUrl":"https://doi.org/10.1115/detc2021-69609","url":null,"abstract":"\u0000 Environmental impact minimization is an important aspect for improving the sustainability performance of manufacturing processes. Quantifying the environmental impacts of unit manufacturing processes requires systematic modeling of process life cycle inventories. This paper develops an inventory model for infeed centerless grinding based on the unit process life cycle inventory methodology. The developed model estimates the energy consumption, material losses, and consumable fluids, for a typical high-volume production setup. Process consumption data is estimated from parameters directly used for process setup as well as machine and tool specifications that can be easily obtained from technical documentation and product geometrical specification. The developed model is demonstrated using a case study involving the infeed centerless grinding of an Inconel 718 shaft on a Cincinnati Twin-Grip Centerless Grinding Machine.","PeriodicalId":318534,"journal":{"name":"Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115894527","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}
{"title":"Design for Product Circularity: Circular Economy Indicators With Tools Mapped Along the Engineering Design Process","authors":"Michael Saidani, Harrison M. Kim","doi":"10.1115/detc2021-69629","DOIUrl":"https://doi.org/10.1115/detc2021-69629","url":null,"abstract":"\u0000 Monitoring the circularity potential of products and materials is key to ensure environmental savings and economic profitability of circular economy loops, such as reuse, remanufacturing, or recycling. The choices and decisions made during the product design phase have a major influence and impact on the circularity performance of products. While numerous indicators and tools have been recently developed to assess, manage, and accelerate the transition to a more circular economy, their application and usability during the early design phases of products are often overlooked. Based on a screening of several tens of circular economy indicators, the present research work identified twelve product-centric circularity indicators, each of them coming with a computational tool, to be deployed during the design process in order to improve the circularity potential of products. To help designers and engineers selecting the appropriate solution, these circularity indicators and tools are positioned on a generic five-step design process, namely: requirements definition, conceptual design, detailed design, designs comparison, product monitoring and communication. Concrete examples are given on how these indicators and their assessment framework can support the design of more circular products. Current shortcomings of available approaches are finally highlighted and discussed (such as the lack of c-indicators for the detailed design phase or linkage with computer-aided design software) for an augmented integration of such promising circularity indicators and their associated tools within the design and development process of products.","PeriodicalId":318534,"journal":{"name":"Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117347880","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}
{"title":"Designing a Stand for Machine Tool Energy Efficiency, With Pump Embodied Energy Tradeoff Case Study","authors":"Ian C. Garretson, Qiuhao Guo, B. Linke","doi":"10.1115/detc2021-70939","DOIUrl":"https://doi.org/10.1115/detc2021-70939","url":null,"abstract":"\u0000 Energy consumption of machine tools needs to be investigated and decomposed to determine areas for improvement. Motors are one key area of energy consumption, and the analysis of motors, including pump motors is useful for long term energy saving. The following paper describes the static and dynamic analysis of a machine tool stand and an energy analysis to compare manufacturing the stand against using the pump motor. The stand needed to be designed that would both withstand the static load of the machine and minimize vibrational excitation caused during grinding experiments. A review of life cycle inventories for induction motors was then undertaken to evaluate the manufacturing energy consumption of pump motors. A breakeven time was determined for the energy investment of replacing a coolant pump with a stand to conserve energy via gravity-fed coolant recirculation. The simulations were performed as worst-case scenarios and are not necessarily indicative of regular use. Results indicate that the stand as designed will not transmit any significant harmonic vibrations. Results of the energy comparison identify that fractional horsepower coolant pumps operating continuously can be replaced with a stand and the energy to produce the stand will break even within two to three years depending on operating schedule.","PeriodicalId":318534,"journal":{"name":"Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116147889","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}
{"title":"An Eco-Industrial Park-Based Method for Net Zero Community Creation","authors":"Garrett Hairston, A. Layton","doi":"10.1115/detc2021-71440","DOIUrl":"https://doi.org/10.1115/detc2021-71440","url":null,"abstract":"\u0000 Much emphasis is placed on the role of Net Zero Communities (NZCs) in achieving a sustainable future. Systems research on the topic, including the application of bio-inspired techniques already used on other human networks, is currently hindered by the lack of case studies documenting the structure and quantity of energy, water, and waste flows within realistic NZCs. This work proposes and preliminarily tests a method of generating a database of hypothetical-realistic NZCs by expanding the system boundaries for well-documented Eco-industrial Park (EIP) networks. The expansion includes residential and commercial actors from the community surrounding the EIP. Past studies using Ecological Network Analysis (ENA) to improve the environmental and economic performance of these EIPs have resulted in a quantitative database of case studies. Combining these industrial hubs to nearby residential, commercial, agricultural, etc. actors can generate potential multi-use networks on which similar design work can be conducted. Three EIP to NZC cases are generated and analyzed focusing on their system structure. Cyclicity, an ENA metric used to quantify the presence and complexity of cyclic pathways in a network, has been shown to promote the efficient use of resources in both biological and human networks. Cyclicity values for the original EIP networks, the community additions, and the potential NZC case studies reveals that there are many meaningful interactions that occur between actors that are only visible once the system boundaries are expanded to the NZC level. This offers a glimpse into the potential benefits of approaching the NZ problem, and sustainable living more generally, on a system scale — an analysis that will be further enabled by the generation of an NZC database initiated by this work.","PeriodicalId":318534,"journal":{"name":"Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116789777","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}
{"title":"Comparing Change Management Processes for Requirements and Manufacturing: An Interview Based Study","authors":"M. Sutton, J. Summers","doi":"10.1115/detc2021-69694","DOIUrl":"https://doi.org/10.1115/detc2021-69694","url":null,"abstract":"\u0000 The study presented in this paper compares requirement and manufacturing change management processes to determine if similar processes can be used for both types of changes. A literature review is used to identify prescribed process stages. Ten stages are identified for both requirements and manufacturing change management. A series of interviews are then conducted with three different population groups to determine the process stages actually used in the field. The resulting process models are compared with the process models from the literature. Further, a thematic analysis is performed on the interview findings. Ultimately, differences are found between the prescribed and practiced change management models for both types of changes. Formal documentation stages are more prevalent for the manufacturing domain, though documentation in practice is less than what is prescribed. This includes the issuance of change requests and change orders in manufacturing change management that are not present in requirement change management processes. Significant differences were also found between the two change types; namely, requirement changes deal with more abstract concepts and as such can afford more informal documentation, whereas manufacturing changes deal with existing artifacts and require solid documentation. Additional research thrusts are identified to help reconcile change management processes across the life cycle.","PeriodicalId":318534,"journal":{"name":"Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115130524","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}
{"title":"Orientation Optimization in Additive Manufacturing: Evaluation of Recent Trends","authors":"Jannatul Bushra, Hannah D. Budinoff","doi":"10.1115/detc2021-71958","DOIUrl":"https://doi.org/10.1115/detc2021-71958","url":null,"abstract":"\u0000 Build orientation in additive manufacturing influences the mechanical properties, surface quality, build time, and cost of the product. Rather than relying on trial-and-error or prior experience, the choice of build orientation can be formulated as an optimization problem. Consequently, orientation optimization has been a popular research topic for several decades, with new optimization methods being proposed each year. However, despite the rapid pace of research in additive manufacturing, there has not been a critical comparison of different orientation optimization methods. In this study, we present a critical review of 50 articles published since 2015 that proposes a method for orientation optimization for additive manufacturing. We classify included papers by optimization methods used, AM process modeled, and objective functions considered. While the pace of research in recent years has been rapid, most approaches we identified utilized similar objective functions and computational optimization techniques to research from the early 2000s. The most common optimization method in the included research was exhaustive search. Most methods focused on broad applicability to all additive manufacturing processes, rather than a specific process, but a few works focused on powder bed fusion and material extrusion. We also identified several areas for future work including integration with other design and process planning tasks such as topology optimization, more focus on practical implementation with users, testing of computational efficiency, and experimental validation of utilized objective functions.","PeriodicalId":318534,"journal":{"name":"Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124446102","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}
Hao-yu Liao, Karthik Boregowda, Willie Cade, S. Behdad
{"title":"Machine Learning to Predict Medical Devices Repair and Maintenance Needs","authors":"Hao-yu Liao, Karthik Boregowda, Willie Cade, S. Behdad","doi":"10.1115/detc2021-71333","DOIUrl":"https://doi.org/10.1115/detc2021-71333","url":null,"abstract":"\u0000 Products often experience different failure and repair needs during their lifespan. Prediction of the type of failure is crucial to the maintenance team for various reasons, such as realizing the device performance, creating standard strategies for repair, and analyzing the trade-off between cost and profit of repair. This study aims to apply machine learning tools to forecast failure types of medical devices and help the maintenance team properly decides on repair strategies based on a limited dataset. Two types of medical devices are used as the case study. The main challenge resides in using the limited attributes of the dataset to forecast product failure type. First, a multilayer perceptron (MLP) algorithm is used as a regression model to forecast three attributes, including the time of next failure, repair time, and repair time z-scores. Then, eight classification models, including Naïve Bayes with Bernoulli (NB-Bernoulli), Gaussian (NB-Gaussian), Multinomial (NB-Multinomial) model, Support Vector Machine with linear (SVM-Linear), polynomial (SVM-Poly), sigmoid (SVM-Sigmoid), and radical basis (SVM-RBF) function, and K-Nearest Neighbors (KNN) are used to forecast the failure type. Finally, Gaussian Mixture Model (GMM) is used to identify maintenance conditions for each product. The results reveal that the classification models could forecast failure type with similar performance, although the attributes of the dataset were limited.","PeriodicalId":318534,"journal":{"name":"Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126007200","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}
William F. Quintero-Restrepo, Brian K. Smith, Junfeng Ma
{"title":"Generative Optimization for Automatic Creation of 3D CAD Platforms","authors":"William F. Quintero-Restrepo, Brian K. Smith, Junfeng Ma","doi":"10.1115/detc2021-67488","DOIUrl":"https://doi.org/10.1115/detc2021-67488","url":null,"abstract":"\u0000 The efficient creation of 3D CAD platforms can be achieved by the optimization of their design process. The research presented in this article showcases a method for allowing such efficiency improvement. The method is based on the DMADV six sigma approach. During the Define step, the definition of the scope and design space is established. In the Measure step, the initial evaluation of the platforms to be improved is done with the help of a Metrics framework for 3D CAD platforms. The Analyze Step includes the identification and optimization of the systems’ model of the process based on the architecture and the multiple objectives required for the improvement. The optimization method used that is based on evolutionary algorithms allows for the identification of the best improvement alternatives for the next step. During Design step of the method, the improvement alternatives are planned and executed. In the final Verification step, the evaluation of the improved process is tested against the previous status with the help of the Metrics Framework for 3D CAD platforms. The method is explained with an example case of a 3D CAD platform for creating metallic boxes for electric machinery.","PeriodicalId":318534,"journal":{"name":"Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121556828","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}
{"title":"Exploring How Lean Product and Process Development Can Promote Industrial Sustainability","authors":"Daniel R. Cooper, Katrina M. Appell","doi":"10.1115/detc2021-70917","DOIUrl":"https://doi.org/10.1115/detc2021-70917","url":null,"abstract":"\u0000 Approximately one-third of anthropogenic greenhouse gas emissions from energy and processing are from making products and chemicals. These emissions can be lowered if they are deliberately considered during the design of products. How can lean product and process development (LPPD) be used to build environmental considerations into the product development system? We explore if LPPD is an effective system in delivering sustainable manufacturing. We conducted case studies in the automotive and oil & gas industries in which LPPD was used to deliver significant physical changes to the product and product manufacturing. We completed semi-structured interviews with stakeholders and focused on the motivation for the change, how LPPD was either a help or hindrance, and the delivered cost savings and environmental benefits. Findings from the case studies were used to structure a workshop on LPPD and sustainability held at a leading manufacturing (industry focused) conference. In this workshop, we focused on first identifying the main environmental impacts in each industry, the physical opportunities to reduce those impacts, and how LPPD might help or hinder delivering that change. This article structures the findings from the case studies and workshop. We present a guide (with examples) for how various LPPD methods (e.g., concept papers, value stream mapping, and design guides) might be used to meet sustainability challenges (e.g., reducing the generation of manufacturing scrap). While LPPD is itself agnostic to sustainability, we suggest that it is an effective method of creating an organizational system for promoting sustainable manufacturing particularly in complex environments.","PeriodicalId":318534,"journal":{"name":"Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133985819","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}