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Summary & Details

BPF Noise Prediction Technology for Automotive HVAC Using AI Methodology

AI手法を用いた自動車用HVACのBPF騒音予測技術

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Format: PDF

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

Publication code: 20264549

Paper/Info type: Journal of Society of Automotive Engineers of Japan

Vol.80 No.9

Pages: 38-41(Total 4 p)

Date of publication: Sep 2026

Publisher: JSAE

Language: Japanese

Detailed Information

Category(J)	AIを活用した振動・騒音設計技術 Translation
Category(E)	AI-based Noise and Vibration Design Technology
Author(J)	1) 鈴木拓哉
Author(E)	1) Takuya Suzuki
Affiliation(J)	1) デンソー
Abstract(J)	自動車用空調ユニット(HVAC)の送風機で発生するファン回転1次騒音(以降BPF騒音と呼ぶ)について、従来の空力音響計算を量産設計段階で適用するためには、計算コストの抑制、解析スピード向上が課題である。本論文では、「蓄積した実験評価データ」と「解析結果データ」を組み合わせてBPF騒音を予測するAI技術を紹介する。 Translation
Abstract(E)	To apply conventional acoustic calculations to primary fan rotational noise (BPF noise) generated by an HVAC blower at the mass production design stage, calculation costs must be reduced and calculation speed must be improved. This paper presents a technique for predicting BPF noise by combining accumulated experimental evaluation data and analytical result data.

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