K. Marshall , P. Schillinger , N.S. Weston , M. Epler , M. Jackson
{"title":"A parametric study of the microstructural evolution of an advanced Ni-based superalloy powder when consolidated using Field Assisted Sintering Technology, compared to a hot isostatic pressing benchmark","authors":"K. Marshall , P. Schillinger , N.S. Weston , M. Epler , M. Jackson","doi":"10.1016/j.aime.2022.100103","DOIUrl":"10.1016/j.aime.2022.100103","url":null,"abstract":"<div><p>The use of Field Assisted Sintering Technology (FAST) is examined for the consolidation of an advanced Ni-based superalloy powder feedstock. FAST processed material was directly compared to a benchmark material prepared via hot isostatic pressing (HIP) where it was found that density, hardness values and microstructures were comparable. FAST enables the retainment of the prior particle grain morphology when using sintering dwell times ranging from 10 to 240 min. The application of dwell temperatures above the γ′ solvus of the alloy resulted in significant grain growth. Measured densities reveal that the applied load and dwell time used during sintering have minimal effect on the final density of the consolidated material. The crystallographic texture was also shown to be isotropic in FAST consolidated material. This study demonstrates that FAST is potentially a viable complementary and/or alternative processing route for consolidating Ni-based superalloy powders.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"5 ","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912922000307/pdfft?md5=05f859ae414457581c7fb86c189d491a&pid=1-s2.0-S2666912922000307-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41383292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sean Psulkowski , Charissa Lucien , Helen Parker , Bryant Rodriguez , Dawn Yang , Tarik Dickens
{"title":"Adhesion dynamics under time-varying deposition: A study on robotic assisted extrusion","authors":"Sean Psulkowski , Charissa Lucien , Helen Parker , Bryant Rodriguez , Dawn Yang , Tarik Dickens","doi":"10.1016/j.aime.2022.100101","DOIUrl":"10.1016/j.aime.2022.100101","url":null,"abstract":"<div><p>Recent advances in robotic assisted-additive manufacturing (RA-AM) have enabled rapid material extrusion-based processing with comprehensive data collection. The following study investigates the adhesion dynamics of the initial printed layer across parameters such as surface energies, stand-off heights, and extrusion speeds of up to 100 mm/s, using an applied in-situ thermal analysis technique. Observations indicate that the characteristic length parameter, <span><math><mrow><msub><mi>L</mi><mi>c</mi></msub></mrow></math></span> < 0.05 mm, is adequate in anchoring the thermal melt, which adheres to the substrate when the nozzle proximity to the surface increases. Up to 100% molten area is contacting the surface prior to translation, and a final eccentricity over 0.85 has been observed. Through an analysis of variance, operational parameters of lower nozzle heights, printing speeds, and higher surface energy were statistically significant. The resultant in-situ characterization-driven data, was used to train a convolutional neural network (CNN). The model tested at an accuracy of 90.9%, and was able to distinguish between failed prints and initially adhered structures.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"5 ","pages":"Article 100101"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912922000289/pdfft?md5=f296766b745111821c00f7c1d543f9e4&pid=1-s2.0-S2666912922000289-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41776602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephan Altvater, Sebastian P. Sikora, Tjark Siefkes
{"title":"Transition between flow-drill screwing systems considering joining process and joint characteristics","authors":"Stephan Altvater, Sebastian P. Sikora, Tjark Siefkes","doi":"10.1016/j.aime.2022.100091","DOIUrl":"10.1016/j.aime.2022.100091","url":null,"abstract":"<div><p>Flow-drill screwing is one of the key joining technologies for car body structures in multi-material lightweight design. In the course of technological developments and subsequent volume production of a product, different assets are used to obtain the same joints, assuming that similar processes yield the same joint characteristics. Since a simple transfer of the process parameters for joining the same materials is usually not possible, a remarkable experimental effort is required to meet manufacturing requirements. In this study the transition to an enhanced flow-drill screwing system and its effects on the joint is investigated. For this purpose, two flow-drill screwing systems typically used in the automotive industry are considered. An application-oriented approach for determining the joining parameters is shown. First, the optimal joining parameters for the target system were determined based on the process curves and parameters of the initial system by fulfilling the requirements for the joint. The joints were evaluated by using cross sections and single-lap shear tests. On this basis, the results of both flow-drill screwing systems were compared. Due to the further development of the flow-drill screwing system the process times can be significantly shortened while achieving the same mechanical properties and better process control at the same time.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"5 ","pages":"Article 100091"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912922000204/pdfft?md5=e401e7db8552d3322974b604b4220f61&pid=1-s2.0-S2666912922000204-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47384533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thomas Vial, Farah Dhouib, Louison Roger, Annabelle Blangero, Frédéric Duvivier, Karim Sayadi, Marisa N. Faraggi
{"title":"Dimensionality reduction to improve search time and memory footprint in content-retrieval tasks: Application to semiconductor inspection images","authors":"Thomas Vial, Farah Dhouib, Louison Roger, Annabelle Blangero, Frédéric Duvivier, Karim Sayadi, Marisa N. Faraggi","doi":"10.1016/j.aime.2022.100097","DOIUrl":"10.1016/j.aime.2022.100097","url":null,"abstract":"<div><p>Quality control in semiconductors is a crucial step to produce high quality microchips. During the last years, advances in artificial vision have significantly improved image quality control techniques. In the semiconductor industry, automated visual inspection is fundamental to avoid human intervention and keep the pipeline sanitized. Different types of images are collected during this process, feeding image databases that continually grow and cannot be labelled by humans in an exhaustive manner. Advances in image retrieval search methods are fundamental to develop more efficient techniques that meet user requirements.</p><p>In this work we propose a dimensionality reduction approach on the feature vectors computed by a classifying deep learning model, while keeping a high retrieval performance. To validate this technique, we evaluate four well-known reduction algorithms on a subset of the full database: Principal Component Analysis (PCA), Sparse Random Projection (SRP), Isomap, Locally Linear Embedding (LLE), in combination with three similarity metrics: Euclidian (<span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>), cosine and inner product. As the number of components of the vectors is reduced, the performance of the image retrieval is measured by recall, time to search, and memory footprint of the database.</p><p>PCA offers the best results, allowing a significant reduction in search time and memory usage, while SRP becomes an option only when the cosine distance is used. With PCA, we were able to divide the memory footprint by a factor of 16, the search time by 6, while maintaining an average recall of 0.96.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"5 ","pages":"Article 100097"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912922000241/pdfft?md5=8d1eb3351fc96b16fe2ebb5868cb4860&pid=1-s2.0-S2666912922000241-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44120760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Shojaei Barjuei , E. Courteille , D. Rangeard , F. Marie , A. Perrot
{"title":"Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications","authors":"E. Shojaei Barjuei , E. Courteille , D. Rangeard , F. Marie , A. Perrot","doi":"10.1016/j.aime.2022.100094","DOIUrl":"10.1016/j.aime.2022.100094","url":null,"abstract":"<div><p>In this paper, to have control over geometry specifications of rectangular bar-shaped layers in a robotic concrete 3D printing process, a real-time vision-based control framework is developed and proposed. The proposed control system is able to set the layer-width by automatically adjusting the velocity of an industrial manipulator during the 3D printing process of concrete based materials relying on a vision system feedback. Initially, details related to the control system, vision and processing units, and robotic platform are discussed. In continue, technical descriptions related to the printhead design, conversion process from a digital 3D drawing model to numerical motion control commands of an industrial manipulator and building material used in this work are reported. The reliability and responsiveness of the developed system is then evaluated through experimental tests by printing several single bar-shaped layers with different wideness by means of an unique printhead geometry and also by printing two layers with the same dimension centrally above another. Overall, the high accuracy and responsiveness of the developed system demonstrate a great potential for real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D printing applications.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"5 ","pages":"Article 100094"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912922000228/pdfft?md5=346ad7544ca4ee1d894e205af59e53e8&pid=1-s2.0-S2666912922000228-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43898464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A communication model for reducing the bullwhip effect in closed-loop supply chain","authors":"Pooria Malekinejad, Mehran Ziaeian, Seyed Mojtaba Hosseini Bamakan","doi":"10.1016/j.aime.2022.100086","DOIUrl":"10.1016/j.aime.2022.100086","url":null,"abstract":"<div><p>Nowadays, most supply chains prefer to exploit closed-loop strategies to reuse their previous products in a reproduction process to reduce their waste and costs. Fluctuations of the demand in a closed-loop supply chain can cause a destructive effect known as the bullwhip effect. This study aimed to investigate the factors that reduce the bullwhip effect in the closed-loop supply chain. For this purpose, first, using a survey on the relevant literature, ten related factors were identified. Then, the opinions of 21 experts were collected, and by applying the ISM technique, the interactions between the ten identified factors were categorized and developed. Finally, the structural equation modeling technique developed the conceptual fit model. The findings indicated that ten identified factors are structured in six general levels. The results also represented a positive and significant relationship among 16 identified relationships in the conceptual model. Based on our findings, “information sharing” is identified as the primary factor of the model. A shorter lead time return factor was also identified at the highest level of the model. The results lead to a comprehensive program to reduce the bullwhip effect in the closed-loop supply chain.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"5 ","pages":"Article 100086"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912922000162/pdfft?md5=1d54e3b0f7aa483e5721a4734b6c8bd3&pid=1-s2.0-S2666912922000162-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46875674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ganesh Nithyanandam , Javier Munguia , Muruthanayagam Marimuthu
{"title":"“Digital literacy”: Shaping industry 4.0 engineering curriculums via factory pilot-demonstrators","authors":"Ganesh Nithyanandam , Javier Munguia , Muruthanayagam Marimuthu","doi":"10.1016/j.aime.2022.100092","DOIUrl":"https://doi.org/10.1016/j.aime.2022.100092","url":null,"abstract":"<div><p>This work describes a joint initiative between PSG-College of technology (Coimbatore, India) and Newcastle University (UK) for the mapping, design, evaluation and roll out of technically rich ‘Digital Manufacturing’ curriculum which has been embraced with a two-fold objective: 1) to prepare final-year Engineering students for real-life industrial environments and 2) to promote the use of digital technologies across manufacturing-intensive Micro, Small and Medium Enterprises (MSMEs) that can directly benefit from their application at an engineering, managerial and shop-floor practical levels. The project started by considering both countries' national strategies for Industry 4.0 (MAKE-in India and Made Smarter, UK) to identify those areas marked as strategically critical and mapping them onto existing engineering curriculums across undergraduate engineering degrees.</p><p>Based on local industry partners with clearly defined ‘digitalization’ opportunities, four industrial case studies were selected and reproduced inside both University labs in the form of student projects that were made available to all final year mechanical engineering students at both institutions. The resulting pilot projects exhibited the potential to expose undergraduate students to engineering concepts and techniques not currently covered in the taught curriculums, while offering industry a ‘soft landing’ on the use of Industry 4.0 tools which have not yet been embraced, mainly due to the lack of qualified personnel or access to specific technology skillsets, such as 3D printing, Augmented Reality and Digital Twins.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"5 ","pages":"Article 100092"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912922000216/pdfft?md5=800f840f5b2b59a7646bb1d0c8c11f97&pid=1-s2.0-S2666912922000216-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92003999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The joining of CP-vanadium and Ti–6Al–4V using the Electron Beam Melting Additive Manufacturing method","authors":"Affaan Uthman Moosa , Everth Hernández-Nava , Mohanad Kadhim Mejbel , Iain Todd","doi":"10.1016/j.aime.2022.100102","DOIUrl":"10.1016/j.aime.2022.100102","url":null,"abstract":"<div><p>The use of electron beam welding for dissimilar welding (DW) of commercially pure (CP) vanadium to Ti–6Al–4V has been investigated via ARCAM S12, an additive manufacturing powder-bed system. Investigations of bead-on-plate welds for Ti–6Al–4V were first conducted to identify the process parameters for full penetration welds with a minimum energy input of 37 mA at a traverse speed of 7 mm/s. Vanadium bead on plate welds produced a penetration of approximately 75%, which was enough to proceed onto DW experiments. Defect-free full penetration welds were produced. The DW weld zone microstructure revealed an elongated dendritic structure comprised of bulky βTi grains and a fine substructure of α' laths. Thermal imaging (TI) showed an increment in radiance temperature ahead of the melt pool, indicating that there is a minimum energy required before keyhole welding is present, confirming mathematical calculations. Mechanical characterisation finds a fair range of hardness across both base metals (BM), heat affected zones (HAZ) and fusion zones (FZ). With no yield plateau in tensile test curves, the material is confirmed to fail on the side with lower mechanical properties, i.e., vanadium, which draws a fair process window for dissimilar welding between Ti6Al4V and vanadium alloys.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"5 ","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912922000290/pdfft?md5=ea6c45f75b0016d24f1a079960454914&pid=1-s2.0-S2666912922000290-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42691334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Material design factors in the additive manufacturing of Carbon Fiber Reinforced Plastic Composites: A state-of-the-art review","authors":"Olusanmi Adeniran , Weilong Cong , Adedeji Aremu","doi":"10.1016/j.aime.2022.100100","DOIUrl":"10.1016/j.aime.2022.100100","url":null,"abstract":"<div><p>Materials design advancements are now paramount to further the course of additive manufacturing (AM) of carbon-fiber-reinforced plastic (CFRP) composites. This is due to the increased prospect of such composites in a wide range of applications, ranging from space to automotive subjected to stringent mechanical performance requirements. A synergy of the high strength-to-weight ratio of the CFRP composites coupled with design freedoms inherent in AM techniques offers several interesting opportunities to customize and increase access to mechanical parts. However, several challenges are currently preventing the AM fabrication of the composites from realizing satisfactory mechanical properties compared to some of the traditional methods such as autoclave molding, extrusion molding, compression molding, etc. The challenges can be improved with a better understanding and appropriation of materials design factors that define the controllable material features which could be suitably varied to obtain desired mechanical performances. This paper reviews the literature on the material factors that influence the mechanical performance of parts composed of short-fiber CFRP composites fabricated through the AM technique. Thermoplastic matrix compositions, chain arrangements, and structural morphology effects are discussed in relation to the ease of processing and the final mechanical performance of fabricated composites. Operating environmental effects on mechanical performance were reviewed and also works of literature on the current state of development in the simulation modeling of material factors in the AM fabrication of CFRP composites were discussed.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"5 ","pages":"Article 100100"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912922000277/pdfft?md5=927b5ce0d20f44d381d14e90711cd327&pid=1-s2.0-S2666912922000277-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43463204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mathematical model for heat transfer during laser material processing","authors":"Ayman Mostafa, Mamdud Hossain","doi":"10.1016/j.aime.2022.100087","DOIUrl":"10.1016/j.aime.2022.100087","url":null,"abstract":"<div><p>The article presents development of a new heat transfer model for calculating temperature distribution in porous and non-porous materials during laser cutting. The novelty of this model lies in incorporating melting and vaporization progression of porous media during laser interaction. The modelling has been implemented through a transient finite difference scheme and the results have been validated against experimental data of cutting various materials by laser including rock and metals.</p></div>","PeriodicalId":34573,"journal":{"name":"Advances in Industrial and Manufacturing Engineering","volume":"5 ","pages":"Article 100087"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666912922000174/pdfft?md5=16326708cd2ddee0cf2605451885e384&pid=1-s2.0-S2666912922000174-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44431863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}