Date of Publication

12-2-2023

Document Type

Master's Thesis

Degree Name

Master of Science in Mechanical Engineering

Subject Categories

Engineering | Mechanical Engineering

College

Gokongwei College of Engineering

Department/Unit

Mechanical Engineering

Thesis Advisor

Dr. Neil Stephen Lopez

Defense Panel Chair

Dr. Jose Bienvenido Manuel M. Biona

Defense Panel Member

Dr. Laurence A. Gan Lim

Dr. Robby B. Manrique

Abstract/Summary

This study presents an in-depth analysis of methodologies and strategies to optimize vehicle inspections and emission control measures. The paper introduces the utilization of the Watson Plot for the analysis of jeepney drive cycles to establish six critical test points for Motor Vehicle Inspection Centers. These test points, derived from the analysis of speed, acceleration, and frequency, are reported to reflect real-world driving conditions, thereby improving the accuracy and efficiency of inspections. Simultaneously, the study thoroughly evaluates existing methodologies for establishing emission cut-off values. It advocates for the development of stringent, precise emission concentration cut-offs, determined based on factors including health-based standards, technological feasibility, ambient air quality standards, and risk assessment. The validity of these test points and refined emission cut-off methodology is affirmed through comparative testing with traditional inspection methods. Based on these, a standardized inspection framework is proposed for broader utilization across inspection centers aimed at enhancing regulatory effectiveness, accuracy of vehicle inspections, and emission control efforts. This study aligns technological advancements, scientific principles, and legislative measures, laying the foundation for more reliable vehicle inspections, precise emission controls, improved air quality, and better public health protection.

Abstract Format

html

Language

English

Format

Electronic

Keywords

Air—Pollution; Automobiles—Motors—Exhaust gas

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Embargo Period

12-10-2024

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