Jean Bosco Nsekuye, Othmane Erramli, Abdelmajid Elouadi, D. Gretete, Bernard Mushirabwoba
{"title":"DMAIC-v2: A Novel Guide to the Improvement of Industrial Processes","authors":"Jean Bosco Nsekuye, Othmane Erramli, Abdelmajid Elouadi, D. Gretete, Bernard Mushirabwoba","doi":"10.1520/ssms20220037","DOIUrl":"https://doi.org/10.1520/ssms20220037","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140693065","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}
Matthew M. Sato, V. W. H. Wong, Ho Yeung, Paul Witherell, K. Law
{"title":"Identification and Interpretation of Melt Pool Shapes in Laser Powder Bed Fusion with Machine Learning","authors":"Matthew M. Sato, V. W. H. Wong, Ho Yeung, Paul Witherell, K. Law","doi":"10.1520/ssms20230035","DOIUrl":"https://doi.org/10.1520/ssms20230035","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140719739","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}
Pub Date : 2023-11-09DOI: 10.1142/s273754982240004x
Yutang Tong, Xingzhi Xiao, Tingting Liu, Nan Wang, Wenhe Liao
Liquid crystal elastomers (LCEs) have attracted much attention because of their large, reversible, and anisotropic deformation, fast response to various external stimuli and excellent mechanical properties. LCE ink was prepared by a catalyst-free aza-Michael addition chemistry. A multi-material four-dimensional (4D)-printed laminated LCE actuator including Polydimethylsiloxane (PDMS), conductive circuits and LCEs was fabricated by direct ink writing (DIW) technology. The influence of the input current and resistance values on the thermal effect of conductive circuits was studied. The functional relationship between the LCE actuator’s bending angle and printing parameters was obtained. The LCE actuator with a bending angle controllable at 0–410[Formula: see text] was fabricated. This research is expected to bring about new possibilities in novel intelligent LCE devices with programmable stimuli-responsive properties and optimal actuation capacities.
{"title":"Study on the deformation capacity of multi-material 4D-printed LCE actuators","authors":"Yutang Tong, Xingzhi Xiao, Tingting Liu, Nan Wang, Wenhe Liao","doi":"10.1142/s273754982240004x","DOIUrl":"https://doi.org/10.1142/s273754982240004x","url":null,"abstract":"Liquid crystal elastomers (LCEs) have attracted much attention because of their large, reversible, and anisotropic deformation, fast response to various external stimuli and excellent mechanical properties. LCE ink was prepared by a catalyst-free aza-Michael addition chemistry. A multi-material four-dimensional (4D)-printed laminated LCE actuator including Polydimethylsiloxane (PDMS), conductive circuits and LCEs was fabricated by direct ink writing (DIW) technology. The influence of the input current and resistance values on the thermal effect of conductive circuits was studied. The functional relationship between the LCE actuator’s bending angle and printing parameters was obtained. The LCE actuator with a bending angle controllable at 0–410[Formula: see text] was fabricated. This research is expected to bring about new possibilities in novel intelligent LCE devices with programmable stimuli-responsive properties and optimal actuation capacities.","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135191837","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}
Pub Date : 2023-10-13DOI: 10.1142/s2737549822400051
Xiaoqiang Wang, Yakun Tao, Shifeng Wen, Yan Zhou, Yusheng Shi
{"title":"Effect of laser energy density on transformation behavior and mechanical property of NiTi alloys fabricated by laser powder bed fusion","authors":"Xiaoqiang Wang, Yakun Tao, Shifeng Wen, Yan Zhou, Yusheng Shi","doi":"10.1142/s2737549822400051","DOIUrl":"https://doi.org/10.1142/s2737549822400051","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918012","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}
Sambit Ghosh, Matthew Mergy, Mirko Minervini, Jacinta Okpanum, Steven M. Cramer, B. Wayne Bequette, Andrew L. Zydney, Todd M. Przybycien
Recently, continuous bioprocessing has gained momentum in biomanufacturing and can alleviate many of the hurdles faced in batch or semi-batch operations. Moreover, the parallel development of smart manufacturing (SM) allows the rapid small-scale prototyping and large-scale implementation of continuous bioprocesses. With this background, this paper presents the laboratory-scale implementation of a continuous precipitation-filtration process that can ultimately be used for therapeutic protein capture purification. The experimental setup includes four static mixers, four peristaltic pumps, one hollow fiber dewatering filtration module, and multiple pressure sensors and weigh scales. The system also includes an in-line advanced microscopic particle imaging probe that provides real-time images and derived metrics of the precipitate particle morphologies and a fiber optic 880 nm optical absorbance probe. A polyclonal human serum antibody mixture (hIgG) (10 g/L) was used as a stand-in for a monoclonal antibody therapeutic along with 7 % w/v polyethylene glycol (PEG, volume exclusion agent) and 10 mM zinc chloride (cross-linking agent) as the precipitants to demonstrate the principles of operation and control of a precipitation-based process using SM technology. An integrated input/output (I/O) system was used to acquire pressure, flow rate, and weigh scale data and also to communicate with the pumps to change flow rates in real-time. Edge computers communicate with the I/O system and the imaging probe and host the software layer. The software layer enables real-time data acquisition, data-driven and first-principles model predictions, closed-loop control of precipitate particle morphology using pump flow rate of PEG, and cloud communications with the Clean Energy Smart Manufacturing Innovation Institute Smart Manufacturing Innovation Platform. The paper presents the initial results obtained with this integrated system, demonstrating the potential of SM strategies to enhance the production of life-saving biopharmaceutical products.
{"title":"Smart Manufacturing Implementation of a Continuous Downstream Precipitation and Filtration Process for Antibody Purification","authors":"Sambit Ghosh, Matthew Mergy, Mirko Minervini, Jacinta Okpanum, Steven M. Cramer, B. Wayne Bequette, Andrew L. Zydney, Todd M. Przybycien","doi":"10.1520/ssms20230003","DOIUrl":"https://doi.org/10.1520/ssms20230003","url":null,"abstract":"Recently, continuous bioprocessing has gained momentum in biomanufacturing and can alleviate many of the hurdles faced in batch or semi-batch operations. Moreover, the parallel development of smart manufacturing (SM) allows the rapid small-scale prototyping and large-scale implementation of continuous bioprocesses. With this background, this paper presents the laboratory-scale implementation of a continuous precipitation-filtration process that can ultimately be used for therapeutic protein capture purification. The experimental setup includes four static mixers, four peristaltic pumps, one hollow fiber dewatering filtration module, and multiple pressure sensors and weigh scales. The system also includes an in-line advanced microscopic particle imaging probe that provides real-time images and derived metrics of the precipitate particle morphologies and a fiber optic 880 nm optical absorbance probe. A polyclonal human serum antibody mixture (hIgG) (10 g/L) was used as a stand-in for a monoclonal antibody therapeutic along with 7 % w/v polyethylene glycol (PEG, volume exclusion agent) and 10 mM zinc chloride (cross-linking agent) as the precipitants to demonstrate the principles of operation and control of a precipitation-based process using SM technology. An integrated input/output (I/O) system was used to acquire pressure, flow rate, and weigh scale data and also to communicate with the pumps to change flow rates in real-time. Edge computers communicate with the I/O system and the imaging probe and host the software layer. The software layer enables real-time data acquisition, data-driven and first-principles model predictions, closed-loop control of precipitate particle morphology using pump flow rate of PEG, and cloud communications with the Clean Energy Smart Manufacturing Innovation Institute Smart Manufacturing Innovation Platform. The paper presents the initial results obtained with this integrated system, demonstrating the potential of SM strategies to enhance the production of life-saving biopharmaceutical products.","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135304033","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}
Pub Date : 2023-08-25DOI: 10.1142/s273754982340001x
Yi Liu, J. Qiu, Jin-Cheng Wang, M. Bambach, J. Min
{"title":"Fabrication of thin-walled hat-shaped beams from ultrahigh strength steel by laser-assisted robotic roller forming","authors":"Yi Liu, J. Qiu, Jin-Cheng Wang, M. Bambach, J. Min","doi":"10.1142/s273754982340001x","DOIUrl":"https://doi.org/10.1142/s273754982340001x","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90050600","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":"Digital Twin–Enabled Machine Learning for Smart Manufacturing","authors":"Sanjay Jain, A. Narayanan","doi":"10.1520/ssms20220035","DOIUrl":"https://doi.org/10.1520/ssms20220035","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76127425","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}
Abhishek Hanchate, Parth Sanjaybhai Dave, Ankur Verma, Akash Tiwari, Cyan Subhra Mishra, S. Kumara, Anil Srivastava, Hui Yang, Vijaykrishnan Narayanan, John Sampson, M. Kandemir, K. Lee, Tanna Pugh, A. Jorden, Gautam Natarajan, D. Sagapuram, S. Bukkapatnam
{"title":"A Graphical Representation of Sensor Mapping for Machine Tool Fault Monitoring and Prognostics for Smart Manufacturing","authors":"Abhishek Hanchate, Parth Sanjaybhai Dave, Ankur Verma, Akash Tiwari, Cyan Subhra Mishra, S. Kumara, Anil Srivastava, Hui Yang, Vijaykrishnan Narayanan, John Sampson, M. Kandemir, K. Lee, Tanna Pugh, A. Jorden, Gautam Natarajan, D. Sagapuram, S. Bukkapatnam","doi":"10.1520/ssms20220031","DOIUrl":"https://doi.org/10.1520/ssms20220031","url":null,"abstract":"","PeriodicalId":51957,"journal":{"name":"Smart and Sustainable Manufacturing Systems","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81659765","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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