Smartphone-based Deformation Analysis Applied to the MUC-Test and the Tensile Test

Abstract Digital image correlation (DIC) systems such as Zeiss-Aramis are widely used for deformation and strain analysis in forming experiments but are associated with high acquisition and operational costs. This study investigates the feasibility of using consumer-grade smartphone cameras as a low-cost alternative for deformation analysis based on image tracking and optical flow techniques. Experiments were conducted on the MUC-Test and a uniaxial tensile test. Feature point tracking and dense optical flow methods were applied to image sequences acquired using an iPhone camera to estimate in-plane displacements and crack loci. The resulting displacement fields were compared to results from images obtained via a commercial Zeiss-Aramis DIC system. While a full three-dimensional reconstruction and strain mapping could not be achieved due to limitations in camera calibration, synchronization, and image resolution, the smartphone-based approach successfully captured global deformation trends, crack initiation and proved to maintain sharp images without blurring during deformation along the camera axis. Although not a replacement for established DIC systems, the proposed approach offers a promising low-cost tool for preliminary analysis and monitoring in production processes, where cost-effective and fast analysis tools are required.

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Publication Details

Journal
Transactions of the Indian Institute of Metals
Published
2026-05-27
DOI
https://doi.org/10.1007/s12666-026-03924-8
Primary Topic
Optical measurement and interference techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Smartphone-based Deformation Analysis Applied to the MUC-Test and the Tensile Test

Tianyou Liu, Paul Richter, Christoph Hartmann, Michael Ott et al.
Transactions of the Indian Institute of Metals
Optical measurement and interference techniques
article

Smartphone-based Deformation Analysis Applied to the MUC-Test and the Tensile Test

Tianyou Liu, Paul Richter, Christoph Hartmann, Michael Ott, Edgar Marker
article en

Abstract

Abstract Digital image correlation (DIC) systems such as Zeiss-Aramis are widely used for deformation and strain analysis in forming experiments but are associated with high acquisition and operational costs. This study investigates the feasibility of using consumer-grade smartphone cameras as a low-cost alternative for deformation analysis based on image tracking and optical flow techniques. Experiments were conducted on the MUC-Test and a uniaxial tensile test. Feature point tracking and dense optical flow methods were applied to image sequences acquired using an iPhone camera to estimate in-plane displacements and crack loci. The resulting displacement fields were compared to results from images obtained via a commercial Zeiss-Aramis DIC system. While a full three-dimensional reconstruction and strain mapping could not be achieved due to limitations in camera calibration, synchronization, and image resolution, the smartphone-based approach successfully captured global deformation trends, crack initiation and proved to maintain sharp images without blurring during deformation along the camera axis. Although not a replacement for established DIC systems, the proposed approach offers a promising low-cost tool for preliminary analysis and monitoring in production processes, where cost-effective and fast analysis tools are required.

Transactions of the Indian Institute of MetalsVol. 79(6)
Technical University of Munich (DE)
Deutsche Forschungsgemeinschaft, Technische Universität München
Openalex Percentile: Top 5%
Optical measurement and interference techniques
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