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Summary & Details

AI-enhanced high-speed atomistic simulation for low-frictional tribofilm in engine

AI を援用した高速な分子動力学法によるエンジン摺動面及び低摩擦反応膜の摺動解析

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20234714

Paper/Info type: Symposium Text

Pages: 1-5(Total 5 p)

Date of publication: Dec 2023

Publisher: JSAE & JSME

Language: Japanese

Event: The 34th Internal Combustion Engine Symposium

Detailed Information

Author(J)	1) 小林森, 2) 河口健太郎, 3) 宮内勇馬
Affiliation(J)	1) マツダ㈱, 2) マツダ㈱, 3) マツダ㈱
Abstract(J)	エンジンの摩擦損失低減のため，様々な計算手法が提案されている．中でも原子スケールのシミュレーションによる低摩擦反応膜のメカニズム解明促進が期待されている．今回，AI を援用した高速な分子動力学シミュレータ Matlantis を潤滑油添加剤が形成する低摩擦反応膜へ適用した．特に MoDTC 由来の低摩擦反応膜と各種 DLC 表面との相互作用をモデル化し，Cr 添加によって膜同士の密着性が改善することが分かった． Translation

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