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Solidification and Solid-State Transformations of Metals and Alloys
Solidification and Solid-State Transformations of Metals and Alloys describes solidification and the industrial problems presented when manufacturing structural parts by casting, or semi-products for forging, in order to obtain large, flat or specifically shaped parts. Solidification follows the nucleation and growth model, which will also be applied in solid-state transformations, such as those taking place because of changes in solubility and allotropy or changes produced by recrystallization. It also explains the heat treatments that, through controlled heating, holding and cooling, allow the metals to have specific structures and properties. It also describes the correct interpretation o...
Surface Engineering of Biomaterials
Surface engineering provides one of the most important means of engineering product differentiation in terms of quality, performance, and lifecycle cost. It is essential to achieve predetermined functional properties of materials such as mechanical strength, biocompatibility, corrosion resistance, wear resistance, and heat and oxidation resistance. Surface Engineering of Biomaterials addresses this topic across a diverse range of process technologies and healthcare applications. Introduces biomaterial surface science and surface engineering and includes criteria for biomaterial surface selection Focuses on a broad array of materials including metals, ceramics, polymers, alloys, and composites Discusses corrosion, degradation, and material release issues in implant materials Covers various processing routes to develop biomaterial surfaces, including for smart and energy applications Details techniques for post-modification of biomaterial surfaces This reference work helps researchers working at the intersection of materials science and biotechnology to engineer functional biomaterials for a variety of applications.
Discovery Science
This volume contains the papers presented at the 7th International Conference on Discovery Science (DS 2004) held at the University of Padova, Padova, Italy, during 2-5 October 2004. The main objective of the discovery science (DS) conference series is to provide an open forum for intensive discussions and the exchange of new information among researchers working in the area of discovery science. It has become a good custom over the years that the DS conference is held in parallel with the Int- national Conference on Algorithmic Learning Theory (ALT). This co-location has been valuable for the DS conference in order to enjoy synergy between conferences devoted to the same objective of comput...
Advances in Artificial Intelligence - IBERAMIA 2002
The 8th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2002, took place in Spain for the second time in 14 years; the first conference was organized in Barcelona in January 1988. The city of Seville hosted this 8th conference, giving the participants the opportunity of enjoying the richness of its historical and cultural atmosphere. Looking back over these 14 years, key aspects of the conference, such as its structure, organization, the quantity and quality of submissions, the publication policy, and the number of attendants, have significantly changed. Some data taken from IBERAMIA’88 and IBERAMIA 2002 may help to illustrate these changes. IBERAMIA’88 was planned as an i...
Transport Phenomena in Multiphase Systems
This book presents a collection of recent contributions in the field of transport phenomena in multiphase systems, namely, heat and mass transfer. It discusses various topics related to the transport phenomenon in engineering (including state-of-the-art, theory and applications) and introduces some of the most important theoretical advances, computational developments and technological applications in multiphase systems domain, providing a self-contained key reference that is appealing to scientists, researchers and engineers alike. At the same time, these topics are relevant to a variety of scientific and engineering disciplines, such as chemical, civil, agricultural, and mechanical engineering.
Machine Learning and Knowledge Discovery in Databases
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
Physical Metallurgy of Cast Irons
This textbook focuses on cast irons, the second material in production and consumption after steel. The authors describe the Fe-C stable and metastable diagrams from the physical-chemical metallurgy point of view. The main properties of cast irons are presented and justified for all kinds of cast irons: low cost, excellent castability, mechanical properties depending on the graphite morphology (gray irons) and high wear resistance (white irons). The physical metallurgy of highly alloyed cast irons is also described, particularly that one of those used as a consequence of their abrasion, corrosion and heat resistance. The book presents exercises, problems and cases studies, with different sections dedicated to the molding practice. The book finishes with the production cast irons in the cupola furnace. This concise textbook is particularly of interest for students and engineers that work in industries related to cast irons.
