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Series: ASM Handbook
Volume: 6
Publisher: ASM International
Published: 01 January 1993
DOI: 10.31399/asm.hb.v06.a0001470
EISBN: 978-1-62708-173-3
... Abstract Efforts in improving the efficiency of automated equipment lead to combining automatic joining equipment with a modem computer technique eventually known as artificial intelligence (intelligent automation) that usually includes an off-line planning system and a real-time adaptive...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006950
EISBN: 978-1-62708-439-0
... AM. It includes detailed sections on SDD and DO as well as three case studies on the adoption of SDD, DO, and artificial-intelligence-based DFAM in real-life engineering applications, highlighting the benefits of these methods for the wider adoption of AM in the manufacturing industry. additive...
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Published: 30 June 2023
Fig. 2 Data flows for a variety of use cases for in situ process monitoring and control. ML, machine learning; AI, artificial intelligence More
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Published: 30 June 2023
Fig. 17 Sustainable additive manufacturing value chain and circular economy. HPC, high-performance computing; AI, artificial intelligence. Courtesy of Baker Hughes More
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Published: 30 June 2023
Fig. 18 Digital inventory as a service to enable rapid delivery of spare parts with minimal physical inventory. AI, artificial intelligence; IP, intellectual property. Courtesy of Baker Hughes More
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Published: 30 June 2023
Fig. 9 Technology hierarchy resting on a rocky political, economic, social, and technology landscape. ICME, integrated computational materials engineering; AI, artificial intelligence; ML, machine learning More
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Published: 30 June 2023
Fig. 13 Additive manufacturing (AM) technology development chart. IoT, internet of things; VR/AR, virtual reality/augmented reality; AI, artificial intelligence; MES, manufacturing execution system More
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002456
EISBN: 978-1-62708-194-8
... or expert systems. The artificial intelligence (AI) technology for developing expert systems certainly exists and has been successfully applied to the development of in-house materials selection expert systems (and others, such as failure analysis or materials characterization systems). Some companies offer...
Series: ASM Handbook
Volume: 6A
Publisher: ASM International
Published: 31 October 2011
DOI: 10.31399/asm.hb.v06a.a0005553
EISBN: 978-1-62708-174-0
... conditions and disturbances. Advances in the fields of artificial intelligence, operations research, sensor networks, and distributed control, improvements in network bandwidth and computational performance, and the availability of low-cost sensors and single-board computers offer the opportunity...
Series: ASM Handbook
Volume: 11B
Publisher: ASM International
Published: 15 May 2022
DOI: 10.31399/asm.hb.v11B.a0006936
EISBN: 978-1-62708-395-9
... of the structure is the ultimate goal of the inspection process. To this end, artificial intelligence techniques are beginning to be incorporated into ultrasonic inspection systems for the evaluation of advanced material systems and geometrically complex components ( Ref 21 – 23 ). Free-travelling (Crawler...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006979
EISBN: 978-1-62708-439-0
... for their development are found in Ref 7 to 10 . Integrated computational materials engineering tools are also being developed. Additionally, modeling and simulation tools, artificial intelligence (e.g., machine learning, neural networks, etc.), and new testing methodologies are being employed. Application...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006958
EISBN: 978-1-62708-439-0
... transformation include additive manufacturing (AM), generative design, high-performance and edge computing, artificial intelligence, and machine learning. Additive manufacturing, also known as three-dimensional (3D) printing, is at the core of Industry 4.0; AM is the process of creating a physical object...
Series: ASM Handbook
Volume: 18
Publisher: ASM International
Published: 31 December 2017
DOI: 10.31399/asm.hb.v18.a0006400
EISBN: 978-1-62708-192-4
... and diagnosing machine faults but also making reliable predictions about how much longer a piece of equipment can operate safely, reliably, or economically. The recent development in computer and transducer technologies, coupled with the advances in signal processing and artificial intelligence techniques, has...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0005752
EISBN: 978-1-62708-194-8
... artificial intelligence DFM design for manufacture AMS Aerospace Material Specification DFMA design for manufacture and assembly gpd grams per denier ANSI American National Standards Institute dhcp double hexagonal close-packed gr grain ASTM American Society for Testing and diam diameter h hour Materials DIN...
Series: ASM Handbook
Volume: 6
Publisher: ASM International
Published: 01 January 1993
DOI: 10.31399/asm.hb.v06.a0005663
EISBN: 978-1-62708-173-3
... expansion EXB exothermic brazing AFM atomic force microscopy CTOD crack tip opening displacement exp base of the natural logarithm CVD chemical vapor deposition EXW explosion welding AI artificial intelligence CVN Charpy V-notch (impact test or speci- f frequency AISC American Institute of Steel Construc...
Series: ASM Handbook
Volume: 6
Publisher: ASM International
Published: 01 January 1993
DOI: 10.31399/asm.hb.v06.a0001465
EISBN: 978-1-62708-173-3
... welding. Intelligent Engineering/Planning Systems Recently developed systems have demonstrated the possibility of coupling extensive databases with artificial-intelligence-based software to produce “intelligent” engineering and planning software that can make many routine engineering decisions...
Series: ASM Handbook
Volume: 6
Publisher: ASM International
Published: 01 January 1993
DOI: 10.31399/asm.hb.v06.9781627081733
EISBN: 978-1-62708-173-3
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0007022
EISBN: 978-1-62708-439-0
... approach. The key elements of the future state are likely to include the integrated application of: Integrated computational materials engineering (ICME) Machine learning and artificial intelligence In situ process sensors and feedforward, adaptive process controls Standards (process...
Series: ASM Handbook
Volume: 18
Publisher: ASM International
Published: 31 December 2017
DOI: 10.31399/asm.hb.v18.a0006430
EISBN: 978-1-62708-192-4
.... , Artificial-Intelligence-Based Electrical Machines and Drives: Applications of Fuzzy, Neural, Fuzzy-Neural and Genetic Algorithm Based Techniques , Oxford University Press , New York , 1999 • Vatsa , A Brief Review of Condition Monitoring Practices of Induction Motor , International Journal...
Series: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006978
EISBN: 978-1-62708-439-0
... sets and may be prone to errors. A potential data management scheme for in situ monitoring data is shown in Fig. 2 . Fig. 2 Data flows for a variety of use cases for in situ process monitoring and control. ML, machine learning; AI, artificial intelligence Data Size With the potential...