Behzad Rahmati

Iran University of Science and Technology

Tehran

Iran

Learn more about SSRN Profiles

SCHOLARLY PAPERS

1

DOWNLOADS

50

TOTAL CITATIONS

0

Feedback

Scholarly Papers (1)

Sort by:

Actions:

View:
Selected
Original List
All Versions Hide All Versions
All Abstracts Hide All Abstracts

(Rank)

1.

Prediction of Turbine Gas Meter Error in High-Pressure by Cfd Techniques: A Novel Approach to Reduce High-Pressure Calibration (Hpc) Costs

Number of pages: 36 Posted: 05 Dec 2023

Behzad Rahmati, seyedhasan hashemabadi and Arash Khalaf Rezaei

Iran University of Science and Technology, Iran University of Medical Sciences and Iran University of Science and Technology

Downloads 50 (1,063,489)

Abstract:

Feedback

All content on this site: Copyright © 2026 Elsevier Inc., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.

We use cookies to help provide and enhance our service and tailor content.

To learn more, visit .