Development of a Sensor Integrated Machining Vice Towards a Non-invasive Milling Monitoring System

Abstract

The future of manufacturing processes is the fully autonomous operation of machine tools. The reliable autonomous operation of machine tools calls for the integration of inline quality control systems that will be able to assess in real time the process status and ensure that the machine tool, process and workpiece are complying with the manufacturing tolerances and requirements. Sensor integrated tooling for machining processes can significantly contribute towards this goal as they can facilitate monitoring close to the actual process. However, most of the solutions proposed so far are highly expensive or very complex to integrate and operate in an industrial environment. To this end, this paper proposes an approach for a sensor integrated vise using low-cost industrial sensors that can easily be integrated in existing machine tools in a non-invasive fashion. The development and dynamic analysis of the system is presented, along with an experimental verification against a lab-scale, high accuracy sensing setup

Piezoelectric Actuators in Smart Engineering Structures Using Robust Control

“…The beam equation for electrical and mechanical loading is given by [19][20][21][22]37] 𝐸𝐼 𝜕 𝑦(𝑡, 𝑥) 𝜕𝑥 + 𝜌𝑏𝐴𝑏 𝜕 𝑦(𝑡, 𝑥) 𝜕𝑡 = 𝑓 (𝑡, 𝑥) + 𝑓 (𝑡, 𝑥)…”

“…The system s dynamical description is provided by [18][19][20][21][22][23] Figure 3. Smart beam equipped with integrated piezoelectric actuators and sensors.…”

“…To provide efficient and cost-effective active control, extensive research has been conducted on the use of piezoelectric materials in systems with dispersed parameters [13][14][15][16][17]. Utilizing distributed piezoelectric material-based sensors and actuators with adaptable properties enables the active regulation of dynamic systems [18][19][20][21][22][23]. This study explores the critical considerations that structural control engineers must address when devising reliable control methods.…”

“…In the field of engineering, control theory is a commonly applied method for material optimization [9,12], as evidenced by previous studies [9][10][11][12][13][14]24]. Robust control techniques have been effectively utilized in intelligent materials [15][16][17][18][19][20][21][22][23]25]. In this context, we focused on the application of piezoelectric components.…”

Optimal Placement and Active Control Methods for Integrating Smart Material in Dynamic Suppression Structures

“…In our paper, we investigate the optimal placement of piezoelectric material in mechanical structures and their application in vibration suppression using Linear-quadratic regulator (LQR) control and Hinfinity (H ∞ ) control methods. For example, the appropriate position could be selected by modeling the equipment or simulating the process [22]. Many important researchers have dealt with the problem of control in smart construction [23][24][25].…”