Presentation of a novel sensor based on acoustic emission in injection molding

Müller, Florian; Rath, Gerhard; Lucyshyn, Thomas; Kukla, Christian; Burgsteiner, Martin; Holzer, Clemens

doi:10.1002/app.38083

Cited by 7 publications

(8 citation statements)

References 14 publications

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“…Temporal problems are often associated with one sensor whose signal is sampled at uniform intervals, see for example [15]. Temporal problems most commonly lead to initial value problems (IVP), where there are constraints on the initial values of the approximation.…”

Section: A Temporal and Spatial Inverse Problemsmentioning

confidence: 99%

“…This is of particular interest when signals need to be analyzed which are not well described by either the Fourier, DCT or Gram basis functions. Considering the custom basis functions shown in Figure 1, they have been designed for the detection of a specific time limited signal emanating from an acoustic resonator mounted in the mold of an injection moulding machine [15]. The basis functions model the characteristic envelope of the oscillations and the characteristic frequencies.…”

Section: B Basis Function Designmentioning

confidence: 99%

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An inverse problem approach to approximating sensor data in cyber physical systems

O’Leary

Harker

Gugg

2015

2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

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This paper presents a new matrix algebraic approach to the direct solution of inverse boundary value problems (IBVP). The synthesis of admissible functions and differentiating matrices is given particular attention. All the necessary mathematical elements are derived from basic principles. The method yields a linear operator for the solution of IBVPs. A single matrix multiplication is required at run-time to determine the solution. The number of FLOPS required is constant and known apriory making the solution suitable for use in embedded realtime systems. The concept of discrete basis function design is introduced for the first time. The method enables the design of special discrete basis functions which yield optimal noise performance and numerical efficiency for specific tasks. All the methods are also verified in a laboratory test system and compared with results from an optical reference measurement.

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Section: A Temporal and Spatial Inverse Problemsmentioning

confidence: 99%

Section: B Basis Function Designmentioning

confidence: 99%

An inverse problem approach to approximating sensor data in cyber physical systems

O’Leary

Harker

Gugg

2015

2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

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“…Recently, a mechanical wireless in‐mold sensor was introduced, called the acoustic‐emission sensor . The sensor is capable of detecting the moment of passing of the melt front and transmits this information using structure‐borne sound.…”

Section: Introductionmentioning

confidence: 99%

“…This setup is larger than essentially necessary to facilitate the exchange of parts. However, a target in future research is the transfer of the acoustic actuator functionality into ejector pins, which are an essential part of an injection mold, that is, Müller et al Figures and . Hence, valuable space near the cavity surface is saved.…”

Section: Introductionmentioning

confidence: 99%

Wireless in‐mold melt front detection for injection molding: A long‐term evaluation

Müller

Kukla

Lucyshyn

et al. 2014

J of Applied Polymer Sci

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Wireless sensing technology for injection molding is of increasing interest in literature. Recently, a purely mechanical inmold sensor for melt front detection was introduced. The sensor system is based on building resonant structures into the mold which are excited by the passing melt front generating structure-borne sound, from which the melt front position is derived. A big advantage of this system is the possibility to implement a plurality of resonant structures while just having one receiver. One important aspect is the need to separate and assign the recorded impinging sounds. A novel algebraic approach was introduced separating the resonant structures by reference to their oscillatory behavior. In this article, measurement results for over 450 injection molding cycles are given proving functionality of the separation process. In addition, it is shown that the melt front detection is reliable and robust when comparing it with results obtained by cavity temperature sensors.

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“…In this paper a different approach is shown where no active circuitry within the mould is required (Müller et al, 2012). A distinctive structure borne sound is generated on purpose by a mechanical resonator which is excited by the passing melt front.…”

Section: Introductionmentioning

confidence: 99%

Resonant Acoustic Sensor System for the Wireless Monitoring of Injection Moulding

Müller

O’Leary

Rath

et al. 2013

Proceedings of the 2nd International Conference on Sensor Networks

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The production of high quality plastic parts requires in-mould sensors to monitor the injection moulding process. A novel wireless sensor concept is presented where structure borne sound is used to transmit information from the inside of an injection mould to the outside surface, eliminating the need for cabling within the mould. The sound is acquired and analyzed using new algebraic basis function techniques to enable the detection of temporal occurrence of frequency patterns in the presence of large levels of noise. The temporal occurrence of the resonators represents the passing melt front. The reduction of spectral leakage is computed by an alternative method using low degree Gram polynomials. The computation of the pattern matching algorithm yields both the correlation coefficients and their covariances which are used to determine the certainty of the measurement. The paper presents the used mathematical background as well as real measurements performed on an injection moulding machine. A test mould was equipped with two different resonant structures. Besides calculating the correlation coefficients the 3σ confidence interval of the coefficients is computed. With the novel algebraic approach a reliable separation of the two temporal points of occurrence of the resonant structures was computed.

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Presentation of a novel sensor based on acoustic emission in injection molding

Cited by 7 publications

References 14 publications

An inverse problem approach to approximating sensor data in cyber physical systems

An inverse problem approach to approximating sensor data in cyber physical systems

Wireless in‐mold melt front detection for injection molding: A long‐term evaluation

Resonant Acoustic Sensor System for the Wireless Monitoring of Injection Moulding

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