Published on 19-Apr-2024

Future of NDT Testing: Emerging Technologies And Trends

Future of NDT Testing: Emerging Technologies And Trends

Sources - Roland Berger

Table of Content

Non-Destructive Testing (NDT) has been pivotal in ensuring the safety and integrity of structures, machinery, and materials across various industries. Emerging technologies and changing trends are driving significant advancements in the field of NDT as technology develops. NDT encompasses a range of techniques employed to evaluate the properties of materials, components, and structures without causing any damage.

Future of NDT Testing

The 21st century has led to the inception of the Fourth Industrial Revolution or 4IR. This industrial transition has adopted the use of automation, optimization of processes, improved data management, communication, and connectivity between processes. The need for human involvement is hence reduced and systems are encouraged to automate maintenance, monitoring, troubleshooting, and general operation using advanced software resources, sensors, embedded systems, the Internet of Things, Artificial Intelligence, and machine learning.

The vast data obtained with the aid of the aforementioned resources in making manufacturing processes and factories ‘smart’ provide active control of the process and machinery and can predict potential failures and maintenance requirements. The automated value chain mapping enables efficient production, operation, and flexibility in systems, which allows customization, and precision. Industry 4.0 also focuses on data transparency by collaborating the operational data of the enterprise with the factory floor analytics.

Non-destructive Testing Methods have become a focal point with respect to the advent of Industry 4.0. Improvement of existing technology involves the adoption of embedded systems, advanced sensors, cloud computing for ease of data storage and access, artificial intelligence used for improved analytics, error-free inference, coordinated process flow, and efficient troubleshooting. Advanced techniques help with clearing the obstructions created by complicated Non-destructive Systems which require a deep understanding of the process, specific training, and significant experience on the operator’s parts.

Automation and Artificial Intelligence generalize processes and analyses trends in the operation to gauge and estimate the most convenient plan of action. The probability of human error caused due to manual positioning, assembly, and installation is also minimized or eliminated using modern sensors and hence streamlines workflows by reducing iterations required to obtain accurate and standardized readings as per industry standards. Data interpretation is also streamlined and automated by using modern technologies, hence avoiding the chance of recording and evaluation errors.

Procedural data is meticulously documented, hence the workflow and potential deviations from the standard procedure can be detected using these technical upgrades. Automation and cloud storage provide organizational access to testing data and reduce the time consumed in data processing and communication across the organization. It also provides the option of data encryption for security, inspection of data post-analysis, and quick access to old test results. ND Hazardous Environments Hazardous Environments is a reliable and rapidly growing industry that is beneficial to many industries, for testing a variety of materials and is viable for a variety of working environments, hence the field is subject to extensive research and development.

Emerging Technologies in NDT

Emerging Technologies in NDT

Emerging technologies in NDT include artificial intelligence, robotics, and advanced sensors that are revolutionising the way inspections are conducted. These technologies offer increased accuracy, efficiency, and safety in NDT testing procedures.

1. Advanced Sensors and Instrumentation

With the advent of advanced sensors and instrumentation, NDT is witnessing a paradigm shift. Sensors equipped with cutting-edge technologies such as Internet of Things (IoT) connectivity, artificial intelligence (AI), and machine learning (ML) algorithms enable real-time monitoring and analysis of assets, leading to proactive maintenance strategies.

2. Robotics and Automation