Virtual instrumentation system architecture applied to remote tensile testing machine

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ICSS 2016 2016 International Conference on Sport Science and Social Science (ICSS 2016) July 29-30, 2016, Yokohama, Japan

1 ICSS International Conference on Sport Science and Social Science (ICSS 2016) July 29-30, 2016, Yokohama, Japan Virtual instrumentation system architecture applied to remote tensile testing machine L. Jiménez1, C. Calderon-Cordova2, R. Loyola1, P. Quezada-Sarmiento2 & R. Barba2 1Area of Energy, Industry and Non-Renewable Natural Resources, Universidad Nacional de Loja, Loja, Ecuador. 2Department of Computer Science & Electronics, Universidad Tecnica Particular de Loja, Loja, Ecuador

2 Outline 1. Introduction 2. Mechanical Engineering: Tensile tests 3. Virtual Instrumentation system (VIS) architecture VIS Architecture Sensors Module Data acquisition Module Software Module 4. VIS implementation and analysis of results 5. Conclusions 2 ICSS 2016, Yokohama, Japan

1. Introduction The tensile test (TT) is one of the main destructive tests to measure the quality of the materials through its mechanical properties.

3 1. Introduction The tensile test (TT) is one of the main destructive tests to measure the quality of the materials through its mechanical properties. This type of testing is mainly carried out in mechanical, electromechanical, and civil engineering laboratories. The variables to consider in the TT are the applied stress and strain of the test specimen. 3 ICSS 2016, Yokohama, Japan

4 1. Introduction In the academic environment it has researched and developed a variety of hardware-software systems for TT, e.g.: computer-aided instruction systems, and virtual instrumentation systems for remote engineering laboratories. It identifies that the common problems with monitoring systems proposed for TT machines are: the systems are not robust to harsh environments, they do not have a precise data acquisition system, and these systems do not determine the main parameters of the TT, only record the stress-strain curves of the test specimen. 4 ICSS 2016, Yokohama, Japan

5 2. Mechanical Engineering: Tensile tests The characteristic curve of the TT is the stress-strain curve. Engineering stress is defined as σ, where P is the tensile force and A 0 is the initial crosssectional area of the gage section. Engineering strain is defined as ε, where L 0 is the initial gage length and δ is the change in gage length (L-L 0 ). σ = P/A 0 ε = δ/l 0 Figure. Stress strain curve and main parameters in the Tensile Tests. 5 ICSS 2016, Yokohama, Japan

3. Virtual Instrumentation system (VIS) architecture The VIS applied to tensile testing machine of the Electromechanical Laboratory at the National

module, which is composed of the Compact FieldPoint device and an expansion card for conditioning signals from strain gauges; finally the software module

6 3. Virtual Instrumentation system (VIS) architecture The VIS applied to tensile testing machine of the Electromechanical Laboratory at the National University of Loja (UNL) is composed of the three modules: the sensor module, which is composed of the load cell and the strain gauges; the data acquisition module, which is composed of the Compact FieldPoint device and an expansion card for conditioning signals from strain gauges; finally the software module which is composed of algorithms of data display and of data storage. Figure. Functional architecture of the virtual instrumentation system. 6 ICSS 2016, Yokohama, Japan

3. Virtual Instrumentation system (VIS) architecture The signals are acquired and recorded by the data acquisition module based on the cfp-2020; they are then displayed and analyzed by a desktop

7 3. Virtual Instrumentation system (VIS) architecture The signals are acquired and recorded by the data acquisition module based on the cfp-2020; they are then displayed and analyzed by a desktop application developed in LabVIEW. The desktop application is designed for use in laboratories of Electromechanical Engineering at National University of Loja (UNL- Ecuador). The most important window is called Tensile Tests because here the algorithms acquisition, analysis and display of test data are executed. Figure. Main windows of desktop application from virtual instrumentation system. 7 ICSS 2016, Yokohama, Japan

198 kg) attached to the strain gauge sensor (KFG-30-120- C1). 4.

8 4. VIS implementation and analysis of results 1. Tensile testing machine. 2. Load cell sensor (Omega LCHD-30k). 3. Test specimen (DIN standard: diameter 12 mm, gauge length 60mm specimen length 200 mm, and weight kg) attached to the strain gauge sensor (KFG C1). 4. Device for data acquisition and data processing (cfp-2020) along with the expansion module (cfp-sg-140) and the power supply. 5. Desktop application running on a laptop. Figure. Experimental setup for the evaluation of the virtual instrumentation system. 8 ICSS 2016, Yokohama, Japan

9 4. VIS implementation and analysis of results Based on acquired variables, an average confidence of 95% of tensile test data with respect to the output data of the reference analog instruments is determined. With respect to the test parameters, the values obtained by VIS with data obtained in the traditional form using manual calculations are compared, the average relative error is equal to 5.4%. Figure. Stress strain curves for three tensile tests with different material. Manual method Automatic method Relative error Yield point (kg/mm 2 ) % True rupture strength (kg/mm 2 ) % Tensile strength (kg/mm 2 ) % Necking (%) % Elongation (%) % Table. Comparison of the manually and automatically calculated characteristic parameters for the tensile test with steel construction 9 ICSS 2016, Yokohama, Japan

10 5. Conclusions It was designed, developed and integrated the architecture of a virtual instrumentation system for tensile testing machine at UNL, the proposed system allows acquire, process, and record the test data automatically with high resolution in magnitude and time. For the evaluation of the system was carried out three tensile tests with different material (ductile iron, construction steel, and transmission steel). With respect to the variables acquired (stress and strain) it is determined that the average confidence of tensile test data with respect to the output data of the reference analog instruments is equal to 95%. With respect to the test parameters, the average error between the values obtained by virtual instrumentation system and the data obtained in the traditional form using manual calculations is equal to 5.4%. In short, the proposed hardware-software architecture is a reliable system applied to computer-assisted instruction; too it is a virtual instrumentation system fully compatible with remote engineering laboratories platforms. 10 ICSS 2016, Yokohama, Japan

11 References Agredo, M. N., Quintana, J., & Florez, J. F Design and testing of a monitoring and supervision system for universal testing machine. Prospectiva, 13(2), pp Araguillin López, R. D., & Mejía Cholo, C. A Diseño de un sistema de control y automatización de una máquina axial-torsional de ensayo de materiales. Blas, M. J., & Loyarte, A. S Laboratorio virtual y remoto: uso de la tecnología de la información como ayuda en la educación. In XIV Workshop de Investigadores en Ciencias de la Computación. Chen, X., Song, G., & Zhang, Y Virtual and remote laboratory development: A review. Proceedings of Earth and Space, 55, Davis, J. R Tensile testing (2nd Edition). Materials Park, Ohio: ASM International. Díaz, F. J., Azcondo, F. J., Brañas, C. & Casanueva, R Entorno virtual aplicado a la regulación analógica y digital de un convertidor reductor en las prácticas de electrónica industrial. In Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica, TAEE (pp ). Elliott, C., Vijayakumar, V., Zink, W. & Hansen, R National instruments LabVIEW: a programming environment for laboratory automation and measurement. Journal of the Association for Laboratory Automation, 12(1), Grimaldi, D. & Rapuano, S Hardware and software to design virtual laboratory for education in instrumentation and measurement. Measurement,42(4), Jütz, H., Scharkus, E. & Lobert, R Prontuario de metales. Tablas para la industria metalúrgica. Ed. Reverté SA Barcelona, España. National Instruments Corporation, Compact FieldPoint User Manual, 74 pp. National Instruments Corporation, FieldPoint Operating Instructions cfp-sg-140, 16 pp. Omega, Low-profile Pancake Style Load Cells, 3 pp. Omega, Omega Strain Gauges specifications chart. 2 pp. Segura, C. A. Q. & Bernal, M LabVIEW y la instrumentación virtual aplicados a la docencia y la investigación en ciencias básicas. Elementos, 1(1). Topon, B. & Asimbaya, D Diseño e implementación de un sistema de adquisición de datos para una máquina de ensayos universales para el Centro Textil de la Escuela Politécnica Nacional. Torres, J. & Redondo, J Reparación y automatización de una máquina universal de ensayos. Ciencia e Ingeniería, 30(2), pp ICSS 2016, Yokohama, Japan

12 THANKS QUESTIONS? Contacts: 12

Rejuvenate An Old Tinius Olsen Machine with Computer Data Acquisition Using Its Existing Hardware and LabVIEW

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