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In the world of globalization & competitive market there is demand of alternative designs with improved quality, economy & safety. Emerging designs of compliant mechanisms making noticeable contribution to economize cost of production. Compliant mechanism derives their mobility through deflection of flexible members opposite to the conventional rigid body mechanism. The integration of functions into fewer parts, compliant mechanisms offer significant advantages such as fewer parts, less wear, noise & backlash. Researchers expects this field will grow enormously due to advances in the compliant mechanism theory, development of materials with superior quality & advancement in 3D printing technology in the recent years. Recently many familiar examples of compliant mechanism are used in transportation, aerospace, micro-mechanism, biomedical, hand held tools, MEMS & robotics industry. The objective of the current work is to study compliant mechanisms & their applications in various fields communicated by various researchers.

Every industry is now turning towards industry 4.0. In this era, industry requires smart machine tools. But for small scale and medium scale industries, it is not affordable to buy new smart machineries. Therefore, the fault diagnosis system (FDS) has got unavoidable propensity in the machine of modern huge information and smart manufacturing. Simultaneously, it offers a solid answer for taking care of the mechanical machines & its cutting tools health status. Industry 4.0 and its key advances assume a fundamental part to make mechanical systems independent and along these lines make conceivable the automated data assortment from modern machines/cutting tools. In view of the gathered information, ML algorithms can be applied for automated shortcoming identification and finding. It is difficult to choose relevant machine learning (ML) procedures, kind of data, data size, and hardware to apply ML in mechanical systems. Determination of wrong FDS procedure, dataset, and data size may cause increase in downtime and infeasible for scheduled maintenance. Accordingly, this study aims to present, the brief review of literatures for investigation to find existing methodologies of ML and its applications, Supportability to develop novel system to diagnose faults in CNC hobbing cutter and to choose suitable ML methods for their required FDS.

A flexure based compliant parallel (4-bar) mechanism for linear translational motion actuated via a precision slide has been proposed. Due to the flexures a miniaturised mechanism is possible overcoming the limitations of rigid link mechanisms. In addition since a compliant mechanism has a monolithic structure no assembly is required. The compliant mechanism is designed using Pseudo Rigid Body Model (PRBM) approach and results obtained are compared with finite element analysis. An experimental setup is developed incorporating a microslide as an actuator for 4-bar compliant mechanism and displacement is measured using 3D optical profilometer. The performance of the compliant parallel mechanism demonstrated by experiments validates the simulation results and hence PRBM results. The effect of point of motion actuation on performance of mechanism is also investigated.

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