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Enormous commercial value brought by big data analysis promotes the vigorous development of big data analysis industry. Due to the difficulties existed in the modeling process, reusing existing analysis experiences becomes a good choice to find an optimal way from problem domain to solution domain efficiently. To help data analysts reuse previous experiences to elicit and model analysis requirements...
In metal cutting, the ability to model its tool temperature distribution is highly desirable as it provides an effective means to monitor the tool and workpiece conditions, particularly when machining titanium alloy that has a low heat conductivity. Because of the complex cutting heat generation, the difficulty to infer the temperature distribution at the cutting interface has been well-recognized...
In general, the physical field in a domain can be uniquely determined from appropriate physical laws by its field conditions on its boundary surfaces. In machining, the ability to measure the tool surface temperature distribution is highly desirable as it provides an essential basis to reconstruct the thermal model for monitoring tool and workpiece conditions, particularly when machining hard to machine...
Rigid bodies are often connected by compliant elements. In the designs of these compliant mechanisms, actuators can be embedded in the rigid bodies to control the beam deformation. Motivated by the need to visualize the deformed beam shape of a flexible mobile-sensing node (FMN) mechanism in real-time operation to aid its human-guided navigation, this paper presents a discrete curvature-based beam...
This paper presents a generalized framework using sensing, actuation and control hardware in an evaluation loop (HEL) for optimizing product/equipment designs where intervention utilizing human experience (and/or knowledge) is desired. Formulated using power variables, two practical applications covering multi physic (mechanical, electrical, magnetic and fluid) domains are demonstrated. The first...
An adaptive robust control (ARC) algorithm is developed for servo system driving by gears with friction and dead-zone nonlinearity, parametric uncertainties and uncertain nonlinearities disturbances. The existing robust adaptive control methods mainly focus on using on-line parameter adaptation for friction and the approximate inversion of the unknown dead-zone. But even without other uncertain nonlinearities...
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