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Learning from the Carbon Fiber-Reinforced Plastic Project

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Down Milling Trimming Process Optimization for Carbon Fiber-Reinforced Plastic

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

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Abstract

Design-Expert V9 software was used to predict the cutting parameters that had an important effect for a particular response. Since the surface roughness for CFRP and Al2024 was recorded as two different responses, the analysis was conducted separately. The obtained results from the experiment are listed in TableĀ 4.1 which is then used for further analysis using Design-Expert V9 software. The input variables were spindle speed, feed rate, and depth of cut; meanwhile, the responses were surface roughness for CFRP and Al2024. The analysis began with the analysis of CFRP machined surface and then followed by Al2024 machined surface.

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Reference

  1. Hills, R. G., Cruces, L., & Trucano, T. G. (1999). Statistical validation of engineering and scientific modelsā€Æ: Background. Retrieved from http://www4.ncsu.edu/~rsmith/Hills-1.pdf.

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Ā© 2019 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Mohamed, S.B., Rashid, R.A., Muhamad, M., Ismail, J. (2019). Learning from the Carbon Fiber-Reinforced Plastic Project. In: Down Milling Trimming Process Optimization for Carbon Fiber-Reinforced Plastic. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-1804-7_4

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  • DOI: https://doi.org/10.1007/978-981-13-1804-7_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1803-0

  • Online ISBN: 978-981-13-1804-7

  • eBook Packages: EngineeringEngineering (R0)

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