Off-campus UMass Amherst users: To download campus access dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.

Non-UMass Amherst users: Please talk to your librarian about requesting this dissertation through interlibrary loan.

Dissertations that have an embargo placed on them will not be available to anyone until the embargo expires.

Date of Award

9-2009

Document Type

Campus Access

Degree Name

Doctor of Philosophy (PhD)

Degree Program

Mechanical Engineering

First Advisor

Robert X. Gao

Second Advisor

David O. Kazmer

Third Advisor

Weibo Gong

Subject Categories

Mechanical Engineering

Abstract

Injection molding is a widely employed manufacturing process in modern industry for mass production of plastic parts. Of the various parameters that affect the quality of injection molded products, the pressure and temperature distribution within the mold cavity are the most critical factors, as improper setting of the filling pressure or cooling speed may lead to defects such as sinks, flashes, or short shots. With increasing mold complexity and the related high cost to structurally modify the mold for sensor accommodation, the ability to integrate multiple, miniaturized sensors within the mold cavity for on- line, multi-point pressure and temperature distribution measurement while minimizing mold structure modification becomes highly attractive to the industry.

This thesis presented the design of a self-energized, acoustic wireless sensing methodology for the simultaneous measurement of pressure and temperature right at the mold cavity, within one sensor package. The sensor harvests energy from the pressure variation of the polymer melt during the injection molding process, and utilizes ultrasonic pulses as the carrier to wirelessly transmit pressure and temperature information through the injection mold. A significant advantage of the designed sensing method is that it avoids drilling through-holes in the injection molds or holding plates, which are costly to implement but necessary for installing traditional wired sensors, thereby allowing multiple sensors to be embedded within a complicated mold structure to improve the observability of the polymer state during the injection molding processes.

Research conducted in this thesis addresses four aspects of the complete solution: (1) Design of a dual-parameter modulation method suited for injection molding environment, (2) Structural optimization of the energy harvesting component, known as a piezoceramic stack, for a minimal volume of the stack while maintaining the minimum Signal-to-Noise Ratio required for reliable signal reception, (3) Design of a multi-layer ultrasound transmitter for effective transmission of the ultrasonic pulses through injection mold steel, and (4) The investigation of signal propagation within the mold cavity and the optimal localization of the receiver to obtain maximum signal strength on the back surface of the injection mold.

The developed sensing methodology was systematically evaluated through experiments using a sensor prototype on a Milacron T100 injection molding machine. States of the melt at multiple locations in the mold cavity were retrieved from the sensor data to provide real- time process feedback for the machine controllers. This information will enable the development and widespread implementation of state variable control algorithms for injection molding to reduce the time required for process set-up and stabilization, and improve part quality and consistency. The energy harvesting and signal modulation mechanisms developed from this research provide a new means to power sensors for the condition monitoring and health diagnosis of dynamic systems and processes in a broad range of applications.

Share

COinS