Ferrites having high resistivity and low eddy current losses have been found most versatile to be used for technological applications. Ferrites with spinel structure have been the subject of many studies because of their magnetic properties resulting from a particular configuration. They can be used in several fields such as electronics, computer, telecommunication, automobile etc.Ferrite has been recognized, as one of the most important electro-ceramics in modern industries and its processing and application technology has been improved incessantly in the last two decades. From the 1950, as radio and television spreads, ferrites established a significant position in industries and now ferrites are most essential material in electronic industries.There are several types of ferrite materials being used in microwave components for obtaining non-reciprocal device action like isolator and phase shifting. The properties of the ferrites for use in devices at different frequency range is mostly designed by substituting diamagnetic metal ions in place of Fe3+ in the chemical formula unit of the ferrite.
Fiber-reinforced composites are exceptionally versatile materials whose properties can be tuned to exhibit a variety of favorable properties such as high tensile strength and resistance against wear or chemical and thermal influences. Consequently, these materials are widely used in various industrial fields such as the aircraft, marine, and automobile industry.After an overview of the general structures and properties of hybrid fiber composites, the book focuses on the manufacturing and processing of these materials and their mechanical performance, including the elucidation of failure mechanisms. A comprehensive chapter on the modeling of hybrid fiber composites from micromechanical properties to macro-scale material behavior is followed by a review of applications of these materials in structural engineering, packaging, and the automotive and aerospace industries.
Cam is a key part of the automobile engine and other internal combustion engines. Its quality and processing efficiency have a direct influence on the quality of automotive and the development of the entire automotive industry. In this book, our aim is to achieve low cost, high quality and intelligent manufacturing for cam grinding. Part 1 is to study a novel grinding strategy for keeping the grinding depth constant during the cam grinding process. The GA-BP network in process parameters optimization in NC camshaft grinding is modeled and experimentally tested. The second part is about a hybrid method integrating Rough set (RS) and case based reasoning (CBR) to engineers selecting the optimal process conditions for a new camshaft product. The third part is about laser assisted machining in ceramic cam parts.
The problem of scheduling n jobs each of which must be processed by m machines with shop dependent processing order is examined. If the order in which a given job is processed on the machine is not fixed, the system is called an open shop. This situation might occur in testing components of an automobile. The computational difficulty of solving most open shop problem is known with the majority being NP- hard. In shop scheduling problem, a combination of machine order and job order is represented by a shop graph or by the corresponding rank matrix pair (MO, JO). A task is to determine an optimal feasible sequence. Various models of mathematics have been presented to solve different shop scheduling problems. Here, the disjunctive graph model, block matrices model without preemption and with preemption and linear programming models are studied. Some problems have also been represented by Gantt charts. Polynomial time algorithms have been presented with complexity analysis. Some NP- hard problems are also discussed in both cases with preemption and without preemption.
Written by two of the most respected, experienced and well-known researchers and developers in the field (e.g., Kiencke worked at Bosch where he helped develop anti-breaking system and engine control, Nielsen has lead joint research projects with Scania AB, Mecel AB, Saab Automobile AB, Volvo AB, Fiat GM Powertrain AB, and DaimlerChrysler.Reflecting the trend to optimization through integrative approaches for engine, driveline and vehicle control, this valuable book enables control engineers to understand engine and vehicle models necessary for controller design and also introduces mechanical engineers to vehicle-specific signal processing and automatic control.Emphasis on measurement, comparisons between performance and modelling, and realistic examples derive from the authors' unique industrial experience .The second edition offers new or expanded topics such as diesel-engine modelling, diagnosis and anti-jerking control, and vehicle modelling and parameter estimation.With only a few exceptions, the approaches
The purpose of Lean Management is to make an organization more competitive. Lean began as the product of an automobile manufacturer's effort to become more competitive in the world market. The concept of Lean originated not as a particular application of established theory but as a process of trial and error on the shop floor. Although the inventors of lean work design relied on a bottom-up method to arrive at their conclusions, they both incorporated existing principles of work design that they found valuable and studied work designs of other businesses and industries to obtain additional ideas that might compliment and improve their own. For lean work design to be used in industries other than repetitive automobile manufacturing, its fundamental principles need to be understood. Achieving a lean operation involves adopting a method of designing work that incorporates a systems view of the organization Once a work designer adopts a systems perspective, the need to achieve coordination between all parts of the system becomes apparent. Lean is essentially an approach to work design that maximizes system productivity and effectiveness while minimizing costs of the system buffers. Lean does this by achieving tighter integration of its system components. To achieve and maintain this tight integration requires effective, fast communication. What constitutes the principles of a lean operation, and how these principles can be developed and applied across all industries, is the focus of this book. This book approaches Lean as an exercise in work design - hence its title. To provide an integrated view of the different perspectives of lean work design, the book examines the major work design decisions from each perspective. It identifies the principles involved in lean operations and examines three existing theories of work design that help define lean operations: systems theory, system variance and the three buffers utilized to protect the system from variance (inventory, capacity and lead time), and organizational information processing theory. The intended outcome for readers of this book will be an understanding of what is meant by Lean, how it applies to work design, and how it can be implemented in a variety of industries and organizational settings to make those organizations more competitive.
Despite industrial promotional measures of successive governments in Nigeria, minimal positive results have been achieved and the industrial sector remains under-developed and under-harnessed. One measure which will fasten industrial sector development is through cluster promotion hence the need for a comprehensive survey. This survey is expected to provide a useful insight into clusters in Nigeria focusing on the south-east and south-south geopolitical zones of the country with emphasis on identifying existing and potential industrial clusters in the two regions as well as major constraints inhibiting their operation. Survey findings reveal that the sectors with the highest number of existing clusters in the two geopolitical zones fall under agro-processing, followed by automobile, furniture and wood works, food, oil and gas, foundries, metals and fabrication. A list of their problems include: poor flow of information, infrastructure deficiencies, lack of adequate business networking, poor access to and supply of business development services, lack of articulated advocacy and engagement mechanisms, and skepticism about the feasibility and sustainability of joint actions.
Inconel 625 is one of the most versatile nickel-based super alloy used in the aerospace, automobile, chemical processing, oil refining, marine, waste treatment, pulp and paper, and power industries. Wire electrical discharge machining (WEDM) is the process considered in the present text for machining of Inconel 625 as it can provide an effective solution for machining ultra-hard, high-strength and temperature-resistant materials and alloys, overcoming the constraints of the conventional processes. The present work is mainly focused on the analysis and optimization of the WEDM process parameters of Inconel 625. The four machining parameters, that is, pulse on time, pulse off time, spark gap voltage and wire feed have been varied to investigate their effects on three output responses, such as cutting speed, gap current, and surface roughness.
Fault detection has gained growing importance for vehicle safety and reliability. For the improvement of reliability, safety and efficiency, advanced methods of supervision, fault detection and fault diagnosis become increasingly important for many automobile systems. Many times, the trial and error approach has been applied to detect the fault and therefore engine may get more damaged instead of getting repaired. To alleviate such type of problem, the idea of sound recording of engines has been suggested to diagnose the fault correctly without opening the engine. In this book, fault detection of two stroke petrol engine, four strokes motor cycle engine and four stroke car engine have been explained. The objective is to categorize the acoustic signals of engines into healthy and faulty state. Acoustic emission signals are generated from three different automobile engines in both healthy and faulty conditions. The soft computing approach for detection of multiple faults in automobile engines is proposed, which include signal conditioning, signal processing, statistical analysis and Artificial Neural Networks.