This thesis deals with the fabrication of MEMS air quality sensors for automotive applications. The goal of this project is to design, fabricate and test an integrated sensor that measures three important air quality components inside the automotive cabin, which are temperature, relative humidity and carbon monoxide (CO) concentration. The sensors are fabricated on silicon substrate covered with thermal oxide and LPCVD nitride. Various deposition and etching techniques were utilized to fabricate these sensors including E-beam evaporation, thermal oxide growth, PECVD, LPCVD, RIE, KOH and HF etching. The temperature and humidity sensor use nickel as the sensitive material while the CO sensor was designed to use SnO2 although it was not fabricated to completion. A chamber was created where the temperature and humidity are controlled and the sensors were tested. Curves of sensor resistance vs. temperature and sensor resistance vs. humidity were created and the two sensor’s sensitivity was calculated.

This thesis deals with the fabrication of MEMS air quality sensors for automotive applications. The goal of this project is to design, fabricate and test an integrated sensor that measures three important air quality components inside the automotive cabin, which are temperature, relative humidity and carbon monoxide (CO) concentration. The sensors are fabricated on silicon substrate covered with thermal oxide and LPCVD nitride. Various deposition and etching techniques were utilized to fabricate these sensors including E-beam evaporation, thermal oxide growth, PECVD, LPCVD, RIE, KOH and HF etching. The temperature and humidity sensor use nickel as the sensitive material while the CO sensor was designed to use SnO2 although it was not fabricated to completion. A chamber was created where the temperature and humidity are controlled and the sensors were tested. Curves of sensor resistance vs. temperature and sensor resistance vs. humidity were created and the two sensor’s sensitivity was calculated.

The proposed tension measurement method focuses on measurement of tension in a single belt span of the multi-pulley Front End Accessory Drive (FEAD) system. The mean belt span tension is calculated from the measured belt span natural vibration frequency. The oscillation belt span tension is calculated from the measured belt span transverse displacement. The dynamic belt span tension is calculated using the mean and oscillation tensions, belt span support pulley rotations, and belt slip, where the slip equation is based on Euler's equation. The proposed tension measurement method is validated using an experimental testing FEAD system which consists of a five pulley system and an automatic tensioner arm. Non-contact sensors are used to prevent disruption of the typical system behaviour. Testing conditions simulate typical engine crankshaft rotation input. Results from experimental testing consistently produce results with percent error less than 10 % for mean and maximum belt span dynamic tension.

Evidence from national surveys conducted in 1995, 2002 and 2006 shows that, despite a variety of specific Government training initiatives, the UK automotive supply sector lags behind international competition and suffers from severe skills shortages. Long term recovery from this position will require improvements in education, careers guidance, recruitment and work related training. The aim of this research has been to design a model of work related training for the sector to help ensure that the learning involved delivers sustained changes in behaviour and skills. A series of case studies have been reviewed to provide a context of work related training in the sector. Separate surveys were used · to benchmark training performance in a World Class manufacturer to understand realistic norms of training output, to sample the sustainability of learning amongst SMEs engaged on similar training programmes and to determine the range of training needs across the automotive supply sector. In total data was obtained from 833 individuals in 389 companies. The initial conclusions that defined the requirements for the model were that The outcomes of training across SMEs in the automotive supply sector were mostly unknown, unmeasured and often unpredictable. For reference, even in large organisations it is estimated that 60% of training budgets lack quantifiable targets. Learners themselves are unpredictable, Training initiatives, deriving from recommendations of the Leitch report and which are „employer led‟ focus on “World Class Manufacturing” which, coming largely from the perspective of Automotive OEMs, means Lean Manufacturing. For smaller SMEs a constrained training offer can be an impediment to growth. Their needs are the more diverse. The model was synthesised from the survey results and its concept tested and refined by a further survey of sixteen predominately automotive companies. Tamkin‟s IES model from Human Resources was also used as a reference comparator. On the input side the new model stresses company readiness and relevance of training. On the output side it adds organisational impact to the accepted but often overlooked measurable outputs. Beneath each of the ten elements of the model there are quantifiable indicators for use with diagnostic tools in either a company‟s HR plan, a training provider‟s delivery planning or a funding agency‟s grant criteria. The companies most likely to meet these quantifiable criteria will be the competitive and innovative companies that operate as learning organisations. It is argued that training targeted on these companies will be cost effective to implement, provide measurable performance benefits and deliver sustainable learning.

In mature product markets competitive advantage is increasingly realised by the careful design and engineering of product attributes that emphasise a brand’s values. In the high-luxury automotive segment, user satisfaction appears to be particularly influenced by products that are perceived to be typical to the brand’s lineage. This research aims to explore the links between product specifications and the categorisation of the product as belonging to the brand, by studying the effect with the Bentley brand’s interiors. The research uses cognitive categorisation theory and related methodologies as a basis for understanding the cognitive processes that operate between the input of specific multisensory stimuli and assessments of typicality and therefore satisfaction. These processes are interpreted through Semantic Differentiation techniques in a number of studies of Bentley products and competitor vehicles. The results suggest that by identifying and defining a number of product properties, of varying importance, and measuring subject’s responses to them, brand-based categorisation effects can be visualised and quantified. The research investigates if these effects have been stable over time and finds that some patterns exist that might be used to predict how future products might be categorised. The benefits of the resulting assessment and measurement tool to the product development process appear to be at least two-fold; firstly, by informing the process, product specifications may be set and designs developed, that are considered more accurate, good and right for the brand, resulting in controlled development time and costs and increased consumer satisfaction. Secondly, by enabling the process, property strengths, weakness and competitive threats may be understood that facilitate experimental and actual design modifications to optimise brand distinctiveness.

The research develops a framework for the evaluation of automotive supply chain performance in China. In addition, the research presents indications from a study of Chinese automotive companies with regards to their evaluation and attempts to propose some alternatives for future improvement.

This study centered on competencies needed by entry-level automotive technicians. Many students in automotive technician programs immediately seek employment upon program completion. This study is one step toward identifying areas in the automotive technician curriculum that need the most training emphasis.

The amount of electronics in vehicles is growing quickly, thus systems are becoming increasingly complex making the engineering of these software intensive systems more and more difficult. In particular, an architecture supporting the business goals is a prerequisite for successful design. In this thesis two case studies have been made including three automotive companies with purpose to investigate the key issues related to real-world decisions when developing Electrical and Electronic (E/E) system architectures in the automotive industry. The results show that many of the identified issues relate to non technical areas such as organization, process, methods and tools, and management. Examples of identified issues are the deficient understanding of the electrical system and software at management level, and the lack of a specific process for architecture development. To cope with these issues we suggest the following actions: Educate management, increase the use of structured decision making, improve the architecture development process, clarify responsibilities in the organization and clarify development strategies. As a possible solution to one of the suggested actions we have developed a method to evaluate how new functionality is successfully integrated into an existing architecture. Themethod is a combination of the Architecture Tradeoff Analysis Method, ATAM, and the Analytical Hierarchy Process, AHP. The method firstly supports a structured way of listing system goals, and secondly, it also supports the making of design decisions. / Business Oriented Concept Development of Electronic System Architecture and Platforms in Vehicles

O objetivo deste trabalho é fazer uma contribuição ao Método de Desenvolvimento Automotivo, especificamente sobre a concepção de novos produtos automotivos, por meio de uma análise crítica a partir de uma hipótese proposta de método de um estudo de caso. O estudo de temas pertinentes procurou incluir temas multidisciplinares ligados à Estética do Produto Industrial e à sua História, ao Gerenciamento de Projetos, a Metodologia de Estímulo à Criatividade, a Ergonomia e Fatores Humanos. O Método Proposto por hipótese, baseado na experiência do autor, incluiu de forma sintética quatro fases de desenvolvimento: a pesquisa, a proposição de alternativas, a definição da melhor alternativa e a execução. O estudo de caso está baseado em uma oportunidade de conceber um semi-reboque autoportante para produtos perigosos, o que permitiu que parte do método pudesse ser testada em sua eficiência. As conclusões do trabalho revelaram pontos em que a aplicação do método hipotético mostrou-se satisfatória e outros apresentou oportunidades de melhoria bem como de continuidade da pesquisa. / The contents on this work it is a contribution to Development automotive Method, specific to new products concepts, through a critical investigation. The theme study case was covered multi-disciplines topics such as: Product Esthetics and History, Project Management, Methods & Creativity stimulus and Human Factors. By the hypotheses the method proposal contemplated synthetic four phase development, Research, Alternative Solutions, Definition of he Solution and the Execution solution. The base study is supported by the opportunity to design a new product: No chassis truck trailer, to transport danger liquid materials, also to try this method for efficiency. The conclusions showed several points for hypothetical method applications with a satisfactory results, it is encouraging to continue this research.

Multi-Attribute Optimisation (MAO) is proposed as a tool for delivering high value products within the systems engineering approach taken in the automotive industry. This work focuses on MAO methods that use Computer Aided Engineering (CAE) analyses to build a metamodel of system behaviour. A review of the literature and current Jaguar Land Rover optimisation methods showed that the number of samples required to build a metamodel could be estimated using the number of input variables. The application of these estimation methods to a concept airbox design showed that this guidance may not be sufficient to fully capture the complexity of system behaviour in the metamodelling method. The use of the number of input variables and their ranges are proposed as a new approach to the scaling of sample sizes. As a corollary to the issue of the sample size required for accurate metamodelling, the sample required to estimate the error was also examined. This found that the estimation of the global error by additional samples may be impractical in the industrial context. CAE is an important input to the MAO process and must balance the efficiency and accuracy of the model to be suitable for application in the optimisation process. Accurate prediction of automotive attributes may require the use of new CAE techniques such as multi-physics methods. For this, the fluid structure interaction assessment of the durability of internal components in the fuel tank due to slosh was examined. However, application of the StarCD-Abaqus Direct couple and Abaqus Combined Eularian Lagrangian was unsuitable for this fuel slosh application. Further work would be required to assess the suitability of other multi-physics methods in an MAO architecture. Application of the MAO method to an automotive airbox shows the potential for improving both product design and lead time.