Libros sobre el tema "Defects in welding"
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Hidekazu, Murakawa y Ma Ninshu, eds. Welding deformation and residual stress prevention. Amsterdam: Butterworth-Heinemann, 2012.
Buscar texto completoA, Simonen F., U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering Technology. y Pacific Northwest National Laboratory, eds. RR-PRODIGAL: A model for estimating the probabilities of defects in reactor pressure vessel welds. Washington, DC: Division of Engineering Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1998.
Buscar texto completoA, Simonen F., U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering Technology. y Pacific Northwest National Laboratory (U.S.), eds. RR-PRODIGAL: A model for estimating the probabilities of defects in reactor pressure vessel welds. Washington, DC: Division of Engineering Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1998.
Buscar texto completoQi, D. M. Effects of welding residual stresses on significance of defects in various types of welded joint. Manchester: UMIST, 1989.
Buscar texto completoS, Dean R., Hennick A, U.S. Nuclear Regulatory Commission. Office of Nuclear Reactor Regulation. Division of Operational Events Assessment. y Parameter Inc, eds. Closeout of IE bulletin 79-03A: Longitudinal weld defects in ASME SA-312 type 304 stainless steel pipe. Washington, DC: Division of Operational Events Assessment, Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission, 1989.
Buscar texto completoS, Dean R., Hennick A, U.S. Nuclear Regulatory Commission. Office of Nuclear Reactor Regulation. Division of Operational Events Assessment. y Parameter Inc, eds. Closeout of IE bulletin 79-03: Longitudinal weld defects in ASME SA-312 type 304 stainless steel pipe spools manufactured by Youngstown Welding and Engineering Co. Washington, DC: Division of Operational Events Assessment, Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission, 1989.
Buscar texto completoGuthrey, Harvey. A model for electron-beam-induced current analysis of mc-Si addressing defect contrast behavior in heavily contaminated PV material: Preprint. Golden, CO]: National Renewable Energy Laboratory, 2012.
Buscar texto completoTrafton, Maple. Practical Techniques : the Projection Welding and Troubleshooting Welding Defects: Projection-Welding. Independently Published, 2021.
Buscar texto completoDeng, Dean Y., Yukio Ueda, Ninshu Ma, Hidekazu Murakawa y Naoki Osawa. Welding Deformation and Residual Stress Prevention. Elsevier Science & Technology, 2022.
Buscar texto completoDeng, Dean Y., Yukio Ueda, Ninshu Ma, Hidekazu Murakawa y Naoki Osawa. Welding Deformation and Residual Stress Prevention. Elsevier Science & Technology, 2022.
Buscar texto completoDistortion control. 9773 LaSalle Boulevard, LaSalle, Quebec, Canada, H8R 2N9: John P. Stewart, 1989.
Buscar texto completoRR-PRODIGAL: A model for estimating the probabilities of defects in reactor pressure vessel welds. Washington, DC: Division of Engineering Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1998.
Buscar texto completoWire Bonding In Microelectronics. McGraw-Hill Professional Publishing, 2010.
Buscar texto completoViswanathan, R. Damage Mechanisms and Life Assessment of High-Temperature Components. ASM International, 1989. http://dx.doi.org/10.31399/asm.tb.dmlahtc.9781627083409.
Texto completoFeng, Zhili, Jian Chen y Zongyao Chen. Key Technologies of Intelligentized Welding Manufacturing: Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process. Springer Singapore Pte. Limited, 2021.
Buscar texto completoFeng, Zhili, Jian Chen y Zongyao Chen. Key Technologies of Intelligentized Welding Manufacturing: Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process. Springer, 2020.
Buscar texto completoFeng, Zhili, Jian Chen y Zongyao Chen. Key Technologies of Intelligentized Welding Manufacturing: Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process. Springer, 2020.
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