The following are necessary in order to meet the future challenges of noise control engineering in the automotive industry: 1. noise engineers who are trained to tunction effectively before detailed models and experimental hardware are available; 2. noise engineers who are more focused on design and manufacturing optimization, and less focused on data analysis methods and problem-solving; 3. processes to roll nebulous attributes such as sound quality down to component-level requirements that can be addressed by the individual design engineers; 4. analytically-based methods that can be rapidly deployed during the initial concepting and program definition stages: to develop a viable balance among all product requirements (i.e. noise, power, cost), and to develop the balance among components for N&V (i.e. combustion, crankshaft, block);. 5. analytical models that can reliably predict absolute levels of performance, so that no single performance area is “over-achieved” at the expense of others; 6. experimental methods that are used primarily to confirm and enhance analytical methods, and to confirm that the final products meet ah requirements; 7. statistical methods that reflect the effects of specification limits and production variation on noise and vibration, and that can be incorporated in all aspects of design, analysis, and test.
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