... Abstract Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in these works consists of AM and Artificial Intelligence (AI) contexts that haven’t been mined...

... Abstract This research investigates the perceptions and attitudes towards artificial intelligence (AI) and automation in manufacturing settings. A multimodal data collection approach is used to gather participant responses using surveys, focus group discussions, and interviews. Qualitative...

... Abstract This paper estimates biomanufacturing (manufactured products made of biomaterials) and advanced biomanufacturing (products manufactured using activities that grow biological molecules and materials along with activities that alter biological material using non-mechanical means) value...

... Abstract This research examines the environmental impact of artificial intelligence (AI) in manufacturing, focusing on the energy consumption and emissions from AI technologies. While computer vision can enhance production efficiency and minimize waste by analyzing data, its deployment...

... for the diagnostics of battery modules with the following applications: a) it can be used by EV owners for predictive maintenance; b) it enables end-of-line quality control in manufacturing plants after the production of battery cells; c) it can be used to test batteries exhausted for traction use, matching batteries...

... of products, increasing the use of recycling and bioplastics, and improving manufacturing efficiency. Several potential needs were identified for increasing the sustainability of plastics: the ability to differentiate product brands and models by life-expectancy, ability to differentiate product brands...

... Abstract Activity recognition is a crucial aspect in smart manufacturing and human-robot collaboration, as robots play a vital role in improving efficiency and safety by accurately recognizing human intentions and proactively assisting with tasks. Current human intention recognition...

... limitations due to ergonomics and workpiece complexity. This paper introduces an AR solution that uses model targets and digital templates to overlay the positional information of joints on the workpiece, enhancing manufacturing visualization. In addition, the positional and diametrical relative accuracies...

... operations. manufacturing robotics computer-aided engineering process planning Proceedings of the ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2023 August 20-23, 2023, Boston, Massachusetts DETC2023-109746...

... Abstract This study investigates the stability of robots in machining. The goal is to improve the dynamic performance of robots using an additional acceleration signal fed back through the conventional built-in proportional-derivative controller provided by the manufacturer. The structure...

... Abstract The involvement of artificial intelligence in manufacturing settings has revolutionized the relationship between humans, computers, and workforce environments. The prior cyber-physical systems are developing rapidly due to advances in technology. However, human consideration has...

... Abstract The issue of carbon emission reduction for manufacturing industry attracts increasing attention. As a major contributor in the manufacturing industry, machining has generated large amounts of carbon emissions through the resource consumption, energy consumption, and waste disposal...

...-based tool for assessing social impacts in eight domains by allowing the use of multiple metrics and comparing two processes. sustainability life cycle assessment social impacts assessment design manufacturing open-source tool Proceedings of the ASME 2022 International Design Engineering...

... Abstract Additive and subtractive machines that exhibit five and six degrees of freedom are on the cutting edge of manufacturing technology. The workspace for these machines can be determined by the joint types and orientations chosen during the design process. Thus, many joint configurations...

... 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...

... disassembled to generate a detailed list of components, materials, and processes used to manufacture them. Next, LCA was conducted using SimaPro to compare the environmental impacts of these irons. Life cycle stages including material extraction, component manufacturing, assembly, distribution, and use were...

... Abstract It is generally observed in inter-organizational communication that present-day data exchange standards are too costly, large, slow to respond to industry demands, and complex to develop and use. These problems in data exchange are felt keenly by the manufacturing industry and its vast...

... Abstract Selective laser melting (SLM) is modernizing the production of highly complex metal parts across the manufacturing industry. However, achieving material homogeneity and controlling thermal deformation remain major challenges for metal-based, additive manufacturing. Therefore, adequate...

... voxel map visibility free-form shapes manufacturing 7 Ju y 996 9 6 Proceedings of 99 XE M accuracy of the prototype to be machined. Using surface sampling a visibility voxel map is obtained. From this map a voxel map is deriv From th machine Ke form sh 1 INT De imposin by exte We sup Our go types...

... a functionally uncoupled or decoupled design. The interface then: (1) implements a visualization of the functionally decomposed product structure; (2) implements an abstraction of a factory; (3) automatically generates candidate primary manufacturing processes and materials that are compatible with each other...