In our contribution to Materials testing we highlight the latest trends and developments in the areas of destructive and non-destructive material testing. Learn how to use these methods in industry, from quality control to Research. We answer key questions and show how modern technologies such as generative Artificial intelligence increase efficiency and precision in material testing.
Contents
Materials testing is a crucial step in product development and Quality Assurance. The leading testing methods include non-destructive testing such as ultrasound and X-ray testing, as well as mechanical testing of stresses such as tensile strength and hardness.
The advantages of materials testing are manifold. Through precise analysis you can Material defects detected early and resolved, resulting in improved product quality. Materials testing also enables production processes to be optimized, which leads to cost savings and more efficient production.
Developments in materials testing have made enormous progress in recent years. This enables more accurate and efficient analysis of materials, resulting in improved product quality and safety. With the help of Generative AI Testing procedures can now be optimized and accelerated.
There are currently these technological advances in non-destructive materials testing:
There are also advances in destructive material testing such as:
The application of generative AI in materials testing procedures provides more efficient, accurate and cost-effective materials testing. This is particularly true in industries with high safety standards such as aerospace and other industries Automotive industry is of great importance. A practical example of optimizing and accelerating material testing procedures through generative artificial intelligence (AI) is its application in automated error detection in non-destructive testing (NDT) using ultrasonic testing.
Situation: Ultrasonic testing uses sound waves to examine materials for internal defects such as cracks or voids. Traditionally, this requires experienced examiners to manually analyze ultrasound images, which can be time-consuming and prone to human error.
Generative AIApplication: A generative AI can be trained to automatically analyze ultrasound images and identify irregularities. This is done by training a deep learning model with a large number of ultrasound images that show both normal and defective material states.
Process:
Result: AI can now analyze ultrasound images much faster than a human examiner and identify defects with high accuracy. This results in a significant acceleration of the testing process while increasing the reliability of the results as the AI works consistently and is not influenced by human factors such as fatigue.
Additional benefit: AI can also help identify trends and patterns in the data that are not obvious to human reviewers, leading to a deeper understanding of material behaviors and potentially the discovery of new relationships.
Both non-destructive and destructive materials testing benefit greatly digital technologies, which enable more efficient and accurate testing methods, as well as the development of new materials and manufacturing techniques that bring new challenges and opportunities for materials testing. Below we will introduce you to new products and application examples from the industry:
18.01.2024/XNUMX/XNUMX | In the wake of the increasing importance of Hydrogen as an environmentally friendly energy source, the Austrian Scioflex Hydrogen GmbH attaches great importance to the precise testing and certification of hydrogen products.
The use of advanced Zwick Roell Testing machines in the testing laboratory enable realistic and reliable material tests. These tests are critical to address challenges such as hydrogen embrittlement and maintain material integrity Hydrogenassess the influence accurately.
“With the Zwick Roell testing systems we can perfectly characterize the material properties under application conditions. This allows us to open up a completely new field of material characterization under the influence of hydrogen,” commented Dr. Bernd Stepsesser, Managing Director of Scioflex Hydrogen GmbH.
Scioflex Hydrogen uses this in its testing laboratory Creep testing machine Kappa 100 SS-CF and the servo-hydraulic Zwick Roell HA100 for comprehensive material testing. These state-of-the-art testing machines are used for a wide range of tests on metals and plastics.
This includes metals Hollow sample tests, tensile tests and fatigue tests on thread samples, as well as fracture mechanics investigations on CT samples 1/2'. To the exams Plastics include tensile tests, dynamic mechanical characterizations, fatigue tests and various fracture mechanics investigations.
The combination of these machines allows a wide testing spectrum of frequency and load. In terms of testing speed, they complement each other from slow with the Kappa 100 SS-CF to fast with the servo-hydraulic testing machine HA100.
Both testing machines can be used to work in the range of low strain rates Slow Strain Rate Tests (SSRT) to carry out investigations and to implement fracture mechanics or fatigue experiments up to a frequency of 20 Hz. Thanks to various force sensors, different load ranges up to 100 kN can be covered and an optional temperature chamber can be implemented for measurements in the temperature range -40° to 100°C.
November 14.11.2023, XNUMX | Especially when it comes to metals, this is the most common Hardness Testing used when the material needs to be tested mechanically. In our current article we present the latest advances in the field Vickers, Knoop- And Brinell-Hardness test procedure. We also answer your questions about this area of materials science.
20.10.2020 | Freudenberg Sealing Technologies (FST) has developed a materials testing process and simulation method for elastomeric materials that improve the performance and life of components offshore Wind Turbines let improve. The material simulation analyzes how the materials behave over the lifetime of a turbine.
28.11.2018/XNUMX/XNUMX | Of the Notched bar impact test is a method of material testing with which the toughness of materials can be determined comparatively quickly and with little effort. With the new Pendulum HIT450P for notched-bar impact bending tests on metals, Zwick Roell presents a device that has been optimally tailored to the test.
April 04.04.2018, XNUMX | Industrialists Computed Tomography (CT) has long been established as a standard procedure for non-destructive testing of materials. Thanks to the ability to precisely analyze, check and measure complex internal and external features, CT continues to grow in popularity. The process provides particularly valuable information when the workpiece can be examined under realistic operating conditions, as it is Diondo realized with “in situ CT”.
Climate chambers, which can generate and maintain defined temperatures (or temperature curves), are an integral part of today's quality assurance and are used to demonstrate storage or aging processes as well as the functionality of components in a certain climate. These findings make a significant contribution to increasing product lifespan and user safety. In-situ CT combines these two methods for component testing. The computed tomography system has an integral, large climate chamber.
Those in the course of Electromobility The Li-ion batteries used present the automotive industry with safety-related questions, especially because of their enormous energy density: How does the temperature affect the internal structure and geometry of the material? How do the materials behave at long-term high or low temperatures or strong temperature fluctuations? The in-situ CT provides a high-resolution look inside the battery at temperatures between -72° and +180°C. Because of the combination of high density and the comparatively large dimensions of such Batteries A 600 kV high-performance X-ray tube is used.
Non-destructive material testing (NDT) is a procedure for examining materials for properties, defects, irregularities or other material parameters. without the workpiece itself to damage or impair its future usability.
Destructive material testing methods include:
Destructive materials testing is a procedure in which materials, components or parts until failure be tested to determine their physical properties such as strength, elongation, hardness and toughness. This type of component testing leads to damage or destruction of the test object.
Non-destructive material testing methods include:
Source: This article is based on information from the following companies: Diondo, Freudenberg, Zwick Roell.
Angela Struck is editor-in-chief of the development scout and freelance journalist as well as managing director of Presse Service Büro GbR in Ried.