IILM College of Engineering and Technology

4D Printing: Future Technology of Smart Materials

In the amazing world of technology, there is always a new trending topic. 4D printing (Figure 1) is the new hot topic. 4 Dimensional Printing Technology is the advancement of 3D printing technique. It revolutionizes the additive manufacturing technology with the help of smart materials. In 4D printing technique material changes their shape after post production. Where as in 3D printing material added layer by layer process and does not change their shape after production.
In the class of smart materials photo polymeric materials, thermal responsive composite hydro gels and bi layer SMP composites are used for 4D printing. These materials change their properties when exposed to light, heat, humidity, water etc.

4D printing could change the entire form of design and manufacturing. Companies could print machines and tools and ship them where needed like disaster areas or prepare them for hostile environments like space or ocean floor. 4D printing technology can provide support in the field of smart medical tools and implants in medical field. 4D devices need not to require humans to build them. Their programming uses the physics, chemistry and geometry of their structures.

Mr. Abhishek Kumar
Assistant Professor
Department of Mechanical Engineering
IILM College of Engineering & Technology
Greater Noida

Rising role of Artificial Intelligence in Manufacturing

With the continuous and rapid rise in the demand for automation, technology has strengthened its hold. Amid a series of breakthroughs, the Manufacturing sector is heavily influenced by Artificial Intelligence (AI).
For instance, in parlance to the recent analysis, it has been seen that data analytics is largely powered by AI which is being applied by manufacturers in areas such as product quality, leads to improvement of efficiency and safety of employees.

Moreover, the maintenance of machinery in manufacturing and other industries is an expensive exercise and unplanned downtimes cost the manufacturers dearly. Therefore, predictive maintenance is the need of the hour. Machine learning and artificial neural network based advanced AI algorithms are being used in predictive maintenance of equipment and machinery. This has resulted in significant reductions in the expensive unplanned downtime.

In the meanwhile, the new era has witnessed as very crucial for companies to maintain a high level of quality in the diverse product line. Also, the quality standards are getting stringent day by day. Here, the AI-based algorithms are being used in manufacturing to predict production abnormalities which can result in reducing the quality of products or processes.

Moreover, In the future, there will be more and more jobs taken by the robots. Therefore human-robot collaboration will reach a more advanced level. AI algorithms will be used to make the robots more autonomous and will be able to handle more cognitive tasks. The robots will be able to process real-time environmental data and to do process optimization.

Moreover, AI algorithms will also be used in product design. The AI algorithm will provide the best set of solutions based on several inputs such as kinds of materials, manufacturing methods, tooling, economics, and time constraints.

This goes into saying that in future, with the rise of dependency on AI, the manufacturing sector will be extremely benefited by it in several domains such as shop floor production, quality, and design. This will help in leveraging the business units with a scale and expand their horizons in terms of presence at the national vis-à-vis global level.

Dr. Shiv Sharma
Associate Professor
Department of Mechanical Engineering
IILM College of Engineering & Technology, Greater Noida