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We develop a new metal-belt continuously variable transmission fluid (CVTF) named FE to improve fuel economy and help reduce CO2 emissions. FE is a low-viscosity fluid that reduces friction loss at low temperatures. Low-viscosity fluids generally reduce hardware durability, resulting in reduced metal fatigue life. Therefore, FE is designed for maintaining oil film thickness throughout the life of a vehicle by optimizing the base oil and viscosity modifier. FE also exhibits long-term anti-shudder performance that enables frequent use of controlled-slip torque converter clutches for improving fuel economy, represented by the flex start system, without decreasing torque capacity between the belt and pulley. The key point in the formulation of design is the selection of a suitable friction modifier. A friction modifier is an additive that improves friction properties.

A system has been developed to take the place of experts employed in the visual inspection of difference in color appearance of dyed seat belt webbing The judgement of experts is likely to be affected by their physical conditions, making the acceptance region of difference in color appearance vague In this paper, three-layer neural networks are used to approximate the nonlinear relationship between color specification values in the L*a*b* uniform color space (published by the Commission Internationale de I'Eclairage) and human color perception As a result of using neural networks, the system attained a maximum error rate of 0 9% compared with the judgement by experts and was put in practical use