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Summary & Details

BPF noise prediction technology for automotive HVAC using AI method

AI手法を用いた自動車用HVACのBPF騒音予測技術

Delivery: Available on this site

Format: PDF

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

Publication code: 20244756

Paper/Info type: Forum Text (Online)

No.24-W4

Pages: 1-4(Total 4 p)

Date of publication: Jan 2025

Publisher: JSAE

Language: Japanese

Event: JSAE Forum 2024 (Winter)

Detailed Information

Author(J)	1) 鈴木拓哉
Author(E)	1) Takuya Suzuki
Affiliation(J)	1) 株式会社デンソー
Affiliation(E)	1) DENSO CORPORATION
Abstract(J)	HVAC送風機で発生するファン回転1次騒音(以下BPF騒音)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。本報では、「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騒音を予測する予測技術を紹介する。 Translation
Abstract(E)	In order to apply conventional acoustic calculations to primary fan rotational noise (BPF noise) generated by HVAC blower at the mass production design stage, it is necessary to reduce calculation costs and improve calculation speed. This paper presents a prediction technique for predicting BPF noise by combining accumulated experimental evaluation data and analytical result data.

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