Performance of PM Linear Generator Under Various Ferromagnetic Materials for Wave Energy Conversion

This chapter examines the influence of the various ferromagnetic materials on the performance of a single-phase tubular permanent-magnet linear generator (TPMLG) for wave energy conversion. Four ferromagnetic materials were considered in this study. They are non-oriented electrical steel, Permalloy (Ni-Fe-Mn), Accucore, and Somaloy 700. The generator equipped with a tubular stator carries a single coil and employs a quasi-Halbach magnetized moving-magnet translator. Therefore, in order to obtain an accurate performance analysis, the nonlinear time-stepping finite-element analysis (FEA) technique has been used. The electromagnetic characteristics, including the magnetic field distributions, flux-linkage, winding inductance, electromagnetic force, and electromotive force (EMF) have been investigated. It is shown that a generator whose stator is fabricated from soft magnetic composite (SMC) materials has potential advantages in terms of ease of manufacture, highest force capability, lower cost, and minimum eddy-current loss.

Spark Plasma Sintering of Mg-Zn-Mn-Si-HA Alloy for Bone Fixation Devices

In this chapter, low elastic modulus porous Mg-Zn-Mn-(Si, HA) alloy was fabricated by mechanical alloying and spark plasma sintering technique. The microstructure, topography, elemental, and chemical composition of the as-sintered bio-composite were characterized by optical microscope, FE-SEM, EDS, and XRD technique. The mechanical properties such as hardness and elastic modulus were determined by nanoindentation technique. The as-sintered bio-composites show low ductility due to the presence of Si, Ca, and Zn elements. The presence of Mg matrix was observed as primary grain and the presence of coarse Mg2Si, Zn, and CaMg as a secondary grain boundary. EDS spectrum and XRD pattern confirms the formation of intermetallic biocompatible phases in the sintered compact, which is beneficial to form apatite and improved the bioactivity of the alloy for osseointegration. The lowest elastic modulus of 28 GPa was measured. Moreover, the as-sintered bio-composites has high corrosion resistance and corrosion rate of the Mg was decreased by the addition of HA and Si element.

Additive Manufacturing Process and Their Applications for Green Technology

Growth of nature is an additive process that gives sustainable existence to the structures developed; on the other hand, traditional manufacturing techniques can be wasteful as they are subtractive. Additive manufacturing produces almost nil waste and accordingly preserves raw materials resulting in cost reduction for the procurement of the same. It will also cut down on the carbon emissions that are usually generated from industrial manufacturing. Additive printed objects are lighter as well, making them more efficient, especially when used in the automobile and aerospace industry. Further, the intrinsic characteristics and the promising merits of additive manufacturing process are expected to provide a solution to improve the sustainability of the process. This chapter comprehensively reports on various additive manufacturing processes and their sustainable applications for green technology. The state of the art, opportunities, and future, related to sustainable applications of additive manufacturing have been presented at length.

Methodology of Operationalization of KPIs for Shop-Floor

Key performance indicators (KPIs) are a critical tool to support activities and results' monitoring in any industrial organization. The published literature and the available approaches on KPIs focus on the business and administrative level, being computed with information retrieved at the shop-floor level. Despite that, there is a scarcity of structured and comprehensive approaches to support the generation of KPIs to be used at the shop-floor level (the few existent approaches are empiric-based). In this chapter, a methodology to support the selection and organization of KPIs at the shop-floor level is proposed. Departing from the Hoshin Kanri strategy deployment, it identifies the levels of decision and control in the company regarding the production activities and derives the most adequate KPIs for each level based on universal questions about “what performance to assess.” The build-up of visual management boards for each level is also proposed.

Performance Study of LaPO4-Y2O3 Composite Fabricated by Sol-Gel Process Using Abrasive Waterjet Machining

This chapter presents an effective approach to assess the abrasive water jet machining of lanthanum phosphate reinforced with yttrium composite. A novel composite is prepared with the mixture of lanthanum phosphate sol and yttrium nitrate hexalate with a ratio of 80/20 by aqueous sol-gel process. Silicon carbide of 80 mesh size is used as abrasive. The effects of each input parameter of abrasive water jet machining are studied with an objective to improve the material removal rate with reduced kerf angle and surface roughness. The observations show that the jet pressure contributes by 77.6% and 45.15% in determining material removal rate and kerf angle, respectively. Through analysis of variance, an equal contribution of jet pressure (38.18%) and traverse speed (40.97%) on surface roughness is recorded. Microscopic examination shows the internal stress developed by silicon carbide which tends to get plastic deformation over the cut surface.

PageRank Algorithm-Based Recommender System Using Uniformly Average Rating Matrix

Applications of web data mining is the prediction of user behavior with respect to items. Recommender systems are being applied in knowledge discovery techniques to the problem of making decisions on personalized recommendation of information. Traditional CF approaches involve the amount of effort increases with number of users. Hence, new recommender systems need to be developed to process high quality recommendations for large-scale networks. In this chapter, a model for UAR matrix construction method for item rank calculations, a Page Rank-based item ranking approach are proposed. The analysis of various techniques for computing item-item similarities to identify relationship between the selected items and to produce a qualified recommendation for users to acquire the items as their wish. As a result, the new item rank-based approaches improve the quality of recommendation outcome. Results show that the proposed UAR method outperforms than the existing method. The same method is applied for the large real-time rating dataset like Movie Lens.

Integrated Manufacturing System for Complex Geometries

The chapter proposes an integrated manufacturing system consisting of three main components: digital prototyping, physical prototyping, and lost core technology. The integrated system combines the beneficial aspects of computer-aided design, computer-aided engineering, rapid prototyping, and rapid tooling. The proposed integrated system is an attempt to compress the product development time while saving cost. The system can be efficient in designing of mold, parts with complex ducts and cavities, and carrying out design analysis through optimization and simulations. The system is therefore an attempt to minimize the waste of material that occurs in the development of a product and is therefore an efficient green technology for the manufacturing industries.

Biomechanical Properties of Orthopedic and Dental Implants

The demand for the orthopedic and dental implants has increased sharply in last decade due to physical traumas and age-related deficiencies. The material used for orthopedic and dental implants should be biocompatible to ensure the adaptability of the implant in the human body. The mechanical stability of implants is dependent on mechanical properties and surface characteristics essential to ensure corrosion and wear resistance. The requirement of mechanical properties also differs substantially from load-bearing to non-load-bearing implants. There are many problems arising due to lack of sufficient biocompatibility, like infection, poor osseointegration, and excessive foreign body response. Fatigue failure, stress shielding, and bone resorption are some major problems associated with lack of mechanical stability. Numerous conventional materials, coatings, and nanomaterials have been used to enhance the implant stability.

Application of Cluster Analysis for Identifying Potential Automotive Organizations Towards the Conduct of Green Manufacturing Sustainability Studies

Increasing legislative concerns and rapidly transforming technologies pressurizes the global competitive landscape to deploy smart, safe, and sustainable green manufacturing. This chapter scrutinizes organizational sustainability of the automobile components manufacturing organizations located in the state of Tamil Nadu, India using hierarchy cluster analysis towards setting up a benchmark on sustainability of organizations. Along with the triple bottom line (TBL) of sustainable development, the organizational responsibility and government legislation in achieving sustainability were selected as the five major governing variables during the conduct of this case study. As a result, 25 automotive components manufacturing organizations chosen from for this study were classified into three clusters, confirming a particular organization as the most suitable one for the conduct of green manufacturing sustainability studies. According to the distinctiveness of the assorted clusters, suggestions were also proposed for improving the organizational sustainability further.

Assessment of Remanufacturability Index for an Automotive Product

The increasing competition among the manufacturing organizations and stringent government regulation forces the manufacturing organizations to implement sustainability principles in manufacturing. Sustainability focuses on material, product development, and manufacturing process orientations. End of life (EoL) disposal of the product is very much important in the modern scenario. The remanufacturing is a vital strategy for attaining sustainability in manufacturing. The assessment of remanufacturability of products needs to be done during the design stage so as to provide the manufacturers the guidelines for sustainable product development. In this context, this chapter presents the insights on remanufacturability index assessment for a typical automotive product. The practical implications of the study are also being discussed.