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Multi-Layer Stratified Scavenging (MULS) - A New Scavenging Method for Two-Stroke Engine

Shigeru Onishi, Souk Hong Jo, Pan Do Jo, Satoshi Kato

Open publisher page 18 citations

Abstract

A new scavenging method for two-stroke cycle engines - Multi-Layer Stratified Scavenging (MULS) - has been developed. The MULS method is achieved by separating the mixture generated by the carburetor into a rich mixture and a lean mixture between the inlet manifold and the scavenging ports, and by finely controlling the scavenging flows. With the MULS method the thermal efficiency and HC emissions of two-stroke cycle gasoline engines are considerably improved without sacrificing the brake specific power output and mechanical simplicity.

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What this paper is about

A new scavenging method for two-stroke cycle engines - Multi-Layer Stratified Scavenging (MULS) - has been developed. The MULS method is achieved by separating the mixture generated by the carburetor into a rich mixture and a lean mixture between the inlet manifold and the scavenging ports, and by finely controlling the scavenging flows. With the MULS method the thermal efficiency and HC emissions of two-stroke cycle gasoline engines are considerably improved without sacrificing the brake specific power output and mechanical simplicity.

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OpenAlex reports 18 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A new scavenging method for two-stroke cycle engines - Multi-Layer Stratified Scavenging (MULS) - has been developed. The MULS method is achieved by separating the mixture generated by the carburetor into a rich mixture and a lean mixture between the inlet manifold and the scavenging ports, and by finely controlling the scavenging flows. With the MULS method the thermal efficiency and HC emissions of two-stroke cycle gasoline engines are considerably improved without sacrificing the brake specific power output and mechanical simplicity.

Key concepts: Scavenging, Two-stroke engine, Layer (electronics), Automotive engineering, Computer science, Environmental science, Chemistry, Materials science

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