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Books on the topic 'Optimization of welding Parameters'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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1

Novak, Francis G. A correlation of welding solidification parameters to weld macrostructure. Monterey, Calif: Naval Postgraduate School, 1992.

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2

Salminen, Antti. The effects of filler wire feed on the efficiency, parameters and tolerances of laser welding. Lappeenranta: Lappeenranta University of Technology, 2001.

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3

Martikainen, Jukka K. On the effects of welding parameters on weld quality of plasma arc keyhole welding of structural steels. Lappeenranta: Lappeenranta University of Technology, Department of Mechanical Engineering, 1989.

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4

Jernstrom, Petteri. The effects of real-time control of welding parameters on weld quality in plasma arc keyhole welding. Lappeenranta, Finland: Lappeenranta University of Technology, 2000.

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5

Moayyedian, Mehdi. Intelligent Optimization of Mold Design and Process Parameters in Injection Molding. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03356-9.

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6

Generalized optimal control of linear systems with distributed parameters. Dordrecht: Kluwer Academic Publishers, 2002.

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7

Hosseinioun, M. M. The influence of welding parameters and parent plate metallurgical characteristics on solidification of austeniticstainless steel weld metals. Uxbridge: Brunel University, 1986.

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8

IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects (2000 Kiruna, Sweden). IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects. Boston: Kluwer Academic Publishers, 2003.

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9

Lerch, F. J. Optimum data weighting and error calibration for estimation of gravitational parameters. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.

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10

Mischenko, Aleksandr, and Anastasiya Ivanova. Optimization models for managing limited resources in logistics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1082948.

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In the proposed monograph, optimization models for managing limited resources in logical systems are considered. Such systems are primarily used by industrial enterprises, transport companies and trade organizations, including those that carry out wholesale activities. As a rule, the efficiency of these objects largely depends on how rational use of limited resources such as: consumer camera business, labor, vehicles, etc. In this paper, various approaches to managing such resources are considered both for deterministic models and for the situation when a number of model parameters are not specified exactly, that is, for stochastic models. In this case, it is proposed to evaluate the stability of models to the occurrence of various types of risk events, both by the structure of the solution and by the functionality. It is addressed to senior students, postgraduates and masters studying in the specialty "Management" and "Logistics", as well as specialists in the field of logistics systems modeling.
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11

Bowers, Charles Emery. An assessment of competing facility location optimization parameters: A case study of the United States Navy, Morale Welfare and Recreation Facilities. Springfield, Va: Available from National Technical Information Service, 2000.

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12

P, Stähle, and Sundin K. G, eds. IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects: Proceedings of the IUTAM Symposium held in Abisko National Park, Kiruna, Sweden, July 31-August 4, 2000. Dordrecht: Kluwer Academic Publishers, 2003.

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13

Fonseca, Carlos M. da. A panorama of mathematics: Pure and applied : Conference on Mathematics and Its Applications, November 14-17, 2014, Kuwait University, Safat, Kuwait. Providence, Rhode Island: American Mathematical Society, 2016.

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14

Machining Dynamics and Parameters Process Optimization. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-0295-3.

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15

M, Adelman Howard, Sobieski Jaroslaw, and Langley Research Center, eds. Optimization for minimum sensitivity to uncertain parameters. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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16

M, Plencner Robert, Seidel Jonathan A, and United States. National Aeronautics and Space Administration., eds. Concurrent optimization of airframe and engine design parameters. [Washington, DC: National Aeronautics and Space Administration, 1992.

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17

Craig, Edward. Gas Metal Arc & Flux Cored Welding Parameters: A Unique Approach to Parameters, Weld Quality and Weld Costs. Weldtrain, 1991.

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18

Prussing, John E. Parameter Optimization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811084.003.0002.

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Parameter optimization is treated as an introduction. Unconstrained and constrained cases are analysed. Necessary and sufficient conditions are derived and illustrated. Parameter optimization utilizes the theory of ordinary maxima and minima. The problem is to determine the value of the m-vector u of independent parameters (decision variables) to minimize the cost function.
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19

Moayyedian, Mehdi. Intelligent Optimization of Mold Design and Process Parameters in Injection Molding. Springer, 2018.

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20

Lyashko, S. I. Generalized Optimal Control of Linear Systems with Distributed Parameters (Applied Optimization). Springer, 2002.

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21

Parametric Optimization of Ultrasonic Welding of Polyester Sheets Using Taguchi’s Design of Experiments. Karur, India: ASDF International, 2017.

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22

Jr, Valder Steffen, and Fran Sérgio Lobato. Multi-Objective Optimization Problems: Concepts and Self-Adaptive Parameters with Mathematical and Engineering Applications. Springer, 2017.

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23

United States. National Aeronautics and Space Administration., ed. User's manual for an aerodynamic optimization scheme that updates flow variables and design parameters simultaneously. Kent, WA: Flow Research, Inc., Applied Mechanics Division, 1989.

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24

Optimization of the Velocity Azimuth Display (VAD) Algorithm's Adaptable Parameters in the WSR-88D System. Storming Media, 1997.

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25

S, Salzar Robert, and United States. National Aeronautics and Space Administration., eds. Optimization of residual stresses in MMC's through the variation of interfacial layer architectures and processing parameters. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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26

S, Salzar Robert, and United States. National Aeronautics and Space Administration., eds. Optimization of residual stresses in MMC's through the variation of interfacial layer architectures and processing parameters. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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27

Aerodynamic optimization by simultaneously updating flow variables and design parameters with application to advanced propeller designs. [Washington, D.C.]: National Aeronautics and Space Administration, 1988.

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28

Optimization of the processing parameters of high temperature superconducting glass-ceramics: Center director's discretionary fund final report (project #91-04). [Marshall Space Flight Center, Ala.]: National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 1993.

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29

(Editor), P. Ståhle, and K. G. Sundin (Editor), eds. IUTAM Symposium on Field Analyses for Determination of Material Parameters - Experimental and Numerical Aspects (Solid Mechanics and Its Applications). Springer, 2003.

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30

Mavi, Jagroop, Anne C. Boat, Senthilkumar Sadhasivam, and Catherine P. Seipel. Congenital Diaphragmatic Hernia Repair. Edited by Erin S. Williams, Olutoyin A. Olutoye, Catherine P. Seipel, and Titilopemi A. O. Aina. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190678333.003.0050.

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Congenital diaphragmatic hernia is an embryologic defect in diaphragm formation that allows abdominal contents to enter into the fetal pleural cavity, resulting in ipsilateral lung compression, pulmonary hypoplasia, and abnormal pulmonary vasculature. Though diagnosis is frequently made on prenatal imaging, the diagnosis should be considered in any newborn with respiratory distress. Prenatal predictors of defect severity include evaluation of observed-to-expected lung volumes on fetal magnetic resonance imaging and lung-to-head ratio on fetal ultrasound. Treatment focuses on medical stabilization, including optimization of oxygenation and ventilation, followed by surgical repair. Anesthetic considerations for these patients include management of coexisting cardiac disease and ventilatory parameters, in addition to standard neonatal anesthetic considerations.
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31

Lee, Herbert K. H., Matthew Taddy, Robert Gramacy, and Genetha Gray. Designing and analysing a circuit device experiment using treed Gaussian processes. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.28.

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This article describes a new circuit device, developed in collaboration with scientists at Sandia National Laboratories, based on treed Gaussian processes (TGP). The circuit devices under study are bipolar junction transistors, which are used to amplify electrical current. To aid with the design of the device, a computer model predicts its peak output as a function of the input dosage and a number of design parameters. The methodology also involves a novel sequential design procedure to generate data to fit the emulator. Both physical and computer simulation experiments are performed, and the results show that the TGP model can be useful for spatial data and semiparametric regression in the context of a computer experiment for designing a circuit device, for sequential design of (computer) experiments, sequential robust local optimization, validation, calibration, and sensitivity analysis.
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32

Tuite, Cl´ıodhna, Michael O’Neill, and Anthony Brabazon. Economic and Financial Modeling with Genetic Programming. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.10.

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This chapter focuses on genetic programming (GP), a stochastic optimization and model induction technique. An advantage of GP is that the modeler need not select the exact parameters to be used in the model beforehand. Rather, GP can effectively search a complex model space defined by a set of building blocks specified by the modeler. This flexibility has allowed GP to be used for many applications. The chapter reviews some of the most significant developments using GP: forecasting, stock selection, derivative pricing and trading, bankruptcy and credit risk assessment, and agent-based and economic modeling. Conclusions reached by studies investigating similar problems do not always agree; however, GP has proved useful across a wide range of problem areas. Recent and future work is increasingly concerned with adapting genetic programming to more dynamic environments and ensuring that solutions generalize robustly to out-of-sample data, to further improve model performance.
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33

Sidhu, Kulraj S., Mfonobong Essiet, and Maxime Cannesson. Cardiac and vascular physiology in anaesthetic practice. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0001.

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This chapter discusses key components of cardiovascular physiology applicable to clinical practice in the field of anaesthesiology. From theory development to ground-breaking innovations, the history of cardiac and vascular anatomy, as well as physiology, is presented. Utilizing knowledge of structure and function, parameters created have allowed adequate patient clinical assessment and guided interventions. A review of concepts reveals the impact of multiple physiological variables on a patient’s haemodynamic state and the need for more accurate and efficient measurements. In particular, it is noted that a more reliable index of ventricular contractility is the end-systolic elastance rather than the ejection fraction. Constant direct preload assessment has not yet been achieved but continues to be determined through surrogate variables, and continuous cardiac output monitoring for oxygen delivery, although advancing, has limitations. Considering the effect of compound factors perioperatively, especially heart failure, modifies the goals and interventions of anaesthetists to achieve improved outcomes. Therefore, medical management prior to surgery and complete assessment through history, physical examination, and diagnostic tests are a priority. This chapter also details the expectations following volume expansion to augment haemodynamics during surgery, the concept of functional haemodynamic monitoring, and limitations to the parameters applied in assessing fluid responsiveness. Challenging the accuracy of conventional indices to predict volume status led to the use of goal-directed therapy, reducing morbidity and minimizing length of hospital stay. The mainstay of this chapter is to reinforce the relevance of advances in haemodynamic monitoring and homeostasis optimization by anaesthetists during surgery, using fundamental concepts of cardiovascular physiology.
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34

Taberlet, Pierre, Aurélie Bonin, Lucie Zinger, and Eric Coissac. Environmental DNA. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.001.0001.

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Environmental DNA (eDNA), i.e. DNA released in the environment by any living form, represents a formidable opportunity to gather high-throughput and standard information on the distribution or feeding habits of species. It has therefore great potential for applications in ecology and biodiversity management. However, this research field is fast-moving, involves different areas of expertise and currently lacks standard approaches, which calls for an up-to-date and comprehensive synthesis. Environmental DNA for biodiversity research and monitoring covers current methods based on eDNA, with a particular focus on “eDNA metabarcoding”. Intended for scientists and managers, it provides the background information to allow the design of sound experiments. It revisits all steps necessary to produce high-quality metabarcoding data such as sampling, metabarcode design, optimization of PCR and sequencing protocols, as well as analysis of large sequencing datasets. All these different steps are presented by discussing the potential and current challenges of eDNA-based approaches to infer parameters on biodiversity or ecological processes. The last chapters of this book review how DNA metabarcoding has been used so far to unravel novel patterns of diversity in space and time, to detect particular species, and to answer new ecological questions in various ecosystems and for various organisms. Environmental DNA for biodiversity research and monitoring constitutes an essential reading for all graduate students, researchers and practitioners who do not have a strong background in molecular genetics and who are willing to use eDNA approaches in ecology and biomonitoring.
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35

Karatasakis, G., and G. D. Athanassopoulos. Cardiomyopathies. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0019.

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Echocardiography is a key diagnostic method in the management of patients with cardiomyopathies.The main echocardiographic findings of hypertrophic cardiomyopathy are asymmetric hypertrophy of the septum, increased echogenicity of the myocardium, systolic anterior motion, turbulent left ventricular (LV) outflow tract blood flow, intracavitary gradient of dynamic nature, mid-systolic closure of the aortic valve and mitral regurgitation. The degree of hypertrophy and the magnitude of the obstruction have prognostic meaning. Echocardiography plays a fundamental role not only in diagnostic process, but also in management of patients, prognostic stratification, and evaluation of therapeutic intervention effects.In idiopathic dilated cardiomyopathy, echocardiography reveals dilation and impaired contraction of the LV or both ventricles. The biplane Simpson’s method incorporates much of the shape of the LV in calculation of volume; currently, three-dimensional echocardiography accurately evaluates LV volumes. Deformation parameters might be used for detection of early ventricular involvement. Stress echocardiography using dobutamine or dipyridamole may contribute to risk stratification, evaluating contractile reserve and left anterior descending flow reserve. LV dyssynchrony assessment is challenging and in patients with biventricular pacing already applied, optimization of atrio-interventricular delays should be done. Specific characteristics of right ventricular dysplasia and isolated LV non-compaction can be recognized, resulting in an increasing frequency of their prevalence. Rare forms of cardiomyopathy related with neuromuscular disorders can be studied at an earlier stage of ventricular involvement.Restrictive and infiltrative cardiomyopathies are characterized by an increase in ventricular stiffness with ensuing diastolic dysfunction and heart failure. A variety of entities may produce this pathological disturbance with amyloidosis being the most prevalent. Storage diseases (Fabry, Gaucher, Hurler) are currently treatable and early detection of ventricular involvement is of paramount importance for successful treatment. Traditional differentiation between constrictive pericarditis (surgically manageable) and the rare cases of restrictive cardiomyopathy should be properly performed.
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