An investigation has been completed to determine the feasibility of using vibration measurement to develop an online tool wear monitoring system.Conventionaltransducers and FFT signal analysers have been used as the starting point for data collection and analysis. Additional software has been developed in order to obtain additional and enhanced analysis using statistical data such as percentile analysis and 4th statistical moments. The signal analysers have been interfaced with an IBM compatible PC to allow efficient data collection and analysis. • The measurement of surface finish via the use of centre line average has been selected as the primary indicator of tool wear. An experimental programme has been completed which examines the relationship between vibration measurement and surface finish during turning operations. This has provided sufficient general rules and guidelines to enable the method to be extended to other processes. It also provides information from which commonly occurring faults such as looseness of the tool holder, changes in material properties and swarf presence in the toolholder can be identified. Tests have been completed using cast iron, ENS and EN3 steels. An expert system has been developed. It has been demonstrated that sufficient data can be collected during the setting-up stage or commissioning part of a machining process from which, using the expert system, reliable tool wear monitoring can be achieved for all subsequent tests. In addition to predicting'the surface for all stages of tool life, the system can identify common faults such as looseness of the toolholder, the presence of swarf in the toolholder and changes in material properties. This system has been evaluated in relation to the available data, the present expectation of quality assesment required from the machine operation and relative to available commercial monitors. The system offers significant improvements.

In manufacturing, monitoring machine health is an important step when implementing Industry 4.0 and ensures effective machining operations and minimal downtime. Monitoring the health of cutting tools during a machining process helps contain the faults associated with gradual tool wear, because they can be tracked and responded to as wear worsens. Left unchecked, tool failures can lead to more severe problems, such as dimensional and surface issues with machined workpieces and lower overall productivity during the machining process. This research explores the use of a machine vision setup used internally by the McMaster Manufacturing Research Institute (MMRI) in their three lathe machines. This machine vision setup provides a direct indication of the tool's maximum flank wear (VBmax), which, according to ISO 3685:1993(E), is set to be 300 µm. Also investigated was the use of image processing and analysis methods to determine the flank wear without removing the tool from the machine. This new, in-machine vision setup is intended to replace the use of an external optical microscope, which requires extended downtime between cutting passes. As a result of this replacement, the experimentation downtime was decreased by around 98.6%, leading to the experiment time to decrease from 5 weeks or more to just a couple of days. In addition, the difference in measurement between a commonly used optical microscope and in-machine vision setup was found to be ±3µm. / Thesis / Master of Science (MSc)

A viabilização do conceito de manufatura enxuta depende da redução da necessidade de intervenções do operador no processo. Na usinagem dos metais, uma das principais situações onde está a intervenção se faz necessária é a determinação da condição de fim de vida das ferramentas de corte, a qual é muitas vezes subjetiva e não pode ser prescrita com segurança. Sendo a emissão acústica (EA) um sinal gerado pelos principais fenômenos envolvidos na usinagem, um sistema de monitoramento de desgaste de ferramentas baseado neste tipo de sinal foi avaliado em operação de torneamento de eixo de saída de transmissão mecânica caracterizado por geometria complexa. Verificou-se que há uma relação entre a trajetória da ferramenta e a \"assinatura\" do processo (tensão RMS plotada contra o tempo). Além disso, há uma forte correlação destes mais a adesão de material da peça à ferramenta determinaram pequena diferença de amplitude do sinal entre os estágios iniciais e finais de vida das ferramentas. Além disso, a influência do sistema de fixação na EA mostrou-se diversas vezes maior que a influência do desgaste. Portanto, um sistema de monitoramento de desgaste baseado apenas em emissão acústica não seria adequado para a situação estudada. / The Lean Manufacturing concept depends on the reduction of the necessity of interventions in the process by the operators. ln metal machining, one situation where these interventions are necessary is the determination of tool life, which is subjective. Besides that, the toollife prediction is not reliable. Acoustic emission signals are generated by many activities involved in machining. Therefore an acoustic emission based tool wear monitoring system was evaluated in a turning operation of a mechanical transmission main shaft characterised by complex geometry. lt was found that there is a relationship between the tool track and the AE \"signature\" of the process (RMS voltage plotted versus time). Furthermore, there is a strong correlation between crater and flank tool wear and the AE signal, but the combination of them plus adhesion phenomena determine low amplitudes between initial and final stages of the tool life. Besides that, the influence of the fixture system was found to be several times higher than the influence of the wear. Therefore, a tool wear monitoring system based on acoustic emission only would not be adequate for this application.

A viabilização do conceito de manufatura enxuta depende da redução da necessidade de intervenções do operador no processo. Na usinagem dos metais, uma das principais situações onde está a intervenção se faz necessária é a determinação da condição de fim de vida das ferramentas de corte, a qual é muitas vezes subjetiva e não pode ser prescrita com segurança. Sendo a emissão acústica (EA) um sinal gerado pelos principais fenômenos envolvidos na usinagem, um sistema de monitoramento de desgaste de ferramentas baseado neste tipo de sinal foi avaliado em operação de torneamento de eixo de saída de transmissão mecânica caracterizado por geometria complexa. Verificou-se que há uma relação entre a trajetória da ferramenta e a \"assinatura\" do processo (tensão RMS plotada contra o tempo). Além disso, há uma forte correlação destes mais a adesão de material da peça à ferramenta determinaram pequena diferença de amplitude do sinal entre os estágios iniciais e finais de vida das ferramentas. Além disso, a influência do sistema de fixação na EA mostrou-se diversas vezes maior que a influência do desgaste. Portanto, um sistema de monitoramento de desgaste baseado apenas em emissão acústica não seria adequado para a situação estudada. / The Lean Manufacturing concept depends on the reduction of the necessity of interventions in the process by the operators. ln metal machining, one situation where these interventions are necessary is the determination of tool life, which is subjective. Besides that, the toollife prediction is not reliable. Acoustic emission signals are generated by many activities involved in machining. Therefore an acoustic emission based tool wear monitoring system was evaluated in a turning operation of a mechanical transmission main shaft characterised by complex geometry. lt was found that there is a relationship between the tool track and the AE \"signature\" of the process (RMS voltage plotted versus time). Furthermore, there is a strong correlation between crater and flank tool wear and the AE signal, but the combination of them plus adhesion phenomena determine low amplitudes between initial and final stages of the tool life. Besides that, the influence of the fixture system was found to be several times higher than the influence of the wear. Therefore, a tool wear monitoring system based on acoustic emission only would not be adequate for this application.

Structural Health Monitoring (SHM) systems were developed to evaluate the integrity of a system during operation, and to quickly identify the maintenance problems. They will be used in future aerospace vehicles to improve safety, reduce cost and minimize the maintenance time of a system. Many SHM systems were already developed to evaluate the integrity of plates and used in marine structures. Their implementation in manufacturing processes is still expected. The application of SHM methods for complex geometries and welds are two important challenges in this area of research. This research work started by studying the characteristics of piezoelectric actuators, and a small energy harvester was designed. The output voltages at different frequencies of vibration were acquired to determine the nonlinear characteristics of the piezoelectric stripe actuators. The frequency response was evaluated experimentally. AA battery size energy harvesting devices were developed by using these actuators. When the round and square cross section devices were excited at 50 Hz frequency, they generated 16 V and 25 V respectively. The Surface Response to Excitation (SuRE) and Lamb wave methods were used to estimate the condition of parts with complex geometries. Cutting tools and welded plates were considered. Both approaches used piezoelectric elements that were attached to the surfaces of considered parts. The variation of the magnitude of the frequency response was evaluated when the SuRE method was used. The sum of the square of the differences was calculated. The envelope of the received signal was used for the analysis of wave propagation. Bi-orthogonal wavelet (Binlet) analysis was also used for the evaluation of the data obtained during Lamb wave technique. Both the Lamb wave and SuRE approaches along with the three methods for data analysis worked effectively to detect increasing tool wear. Similarly, they detected defects on the plate, on the weld, and on a separate plate without any sensor as long as it was welded to the test plate.

Fundação de Amparo a Pesquisa do Estado de Minas Gerais / The main goal of this work is the development of techniques for application of acoustic emission signal in tool wear monitoring in face milling operation. In this work a Sensis (DM 42) equipment for acquisition of the acoustic emission signal was used during the milling of a high strength low alloy steel (Din 38MnS6). A milling cutter with 125 mm diameter for eight inserts with specification R245 125Q40-12M was used. The ISO specification of the inserts were SEMN 12 04 AZ TiN coated. The tests were divided into two parts. In the first part, wear and some other machining phenomena were monitored through the construction of a luminous intensity map. For these tests it was used one, two, four or eight inserts simultaneously. In this stage the acoustic emission signal was evaluated using the RMS values. In the second part of this work the acoustic emission raw signal was used. Amongst the statistical parameters that correlate to tool wear extracted from the raw signal, the best fit ones were selected to train and validate a Probabilistic Neural Network. The results of the PNN indicate that the acoustic emission signal can be used to recognition of tool wear levels in the milling process. / O principal objetivo deste trabalho é o desenvolvimento de técnicas para a aplicação da emissão acústica no monitoramento de desgaste de insertos de metal duro no fresamento frontal. Neste trabalho foi utilizado um equipamento da Sensis (DM 42) para aquisição do sinal de emissão acústica durante o fresamento frontal de um aço microligado perlítico de forja (Din 38MnS6). Foi utilizada uma fresa com especificação R245 125Q40-12M, de 125 mm de diâmetro e com possibilidade de montagem de até oito insertos. Os insertos utilizados são de metal duro R245-12 T3 M-PM 4030 revestidos com TiN. A fresa e os insertos foram fabricados pela Sandvik Coromant. Os testes foram divididos em duas partes. A primeira consistiu no monitoramento do desgaste e também de alguns fenômenos que ocorrem na usinagem através da construção de um mapa de intensidade luminosa. Nestes testes foram utilizados um, dois, quatro e oito insertos simultaneamente. Nesta etapa foi empregado o sinal RMS da emissão acústica. Na segunda etapa dos ensaios utilizou-se o sinal bruto de emissão acústica. Foram estimados parâmetros estatísticos destes sinais e destes foram escolhidos os que melhor se relacionavam com o fenômeno estudado. Este procedimento foi realizado através da ferramenta estatística boxplot. Finalmente, os parâmetros escolhidos foram usados para treinar e validar uma Rede Neural Probabilística, que teve a função de reconhecer e classificar os estágios de desgaste da ferramenta. Os índices de acerto nas classificações da rede indicam que a emissão acústica apresenta bons resultados no reconhecimento de níveis de desgaste das ferramentas na operação de fresamento. / Doutor em Engenharia Mecânica

The topic of this thesis is divided in two main parts. The first is about the “tool/workpiece pair” method and the second is related to wear monitoring. The entire project will be about drilling and tapping operations done in SNECMA Vernon. In fact, the part is very expensive so they have to be closely controlled to avoid a maximum scrap pieces. Two software will be used to control it. Firstly, the “tool/workpiece pair” will be done through AMC3 (software developed at the ENSAM). And secondly the wear monitoring will be ensured by the software CTM Visu (developed by ARTIS). My task will be to learn how to use those software and then to implement them in the company.

Basic resonator structures for frequency-selective capacitive vibration sensors which exploit their mechanical resonance peak for spectral selectivity are developed and analyzed. As an important capability, the stuctures offer voltage-controlled frequency tuning realized by electrostatic principles. Direct electrostatic tuning based on displacement-dependent electrostatic forces as well as tuning by stress-stiffening based on constant electrostatic forces are discussed. The sensor structures are designed for fabrication using common silicon surface microtechnologies. Experimental tests of both mentioned tuning principles are carried out at structures fabricated using a surface technology known as SCREAM. A considerable part of the work focusses on nonlinear oscillations of the mechanical resonator at large amplitudes arising in resonance. Dimensioning rules for minimum nonlinear disturbance are derived from a detailed analysis of the Duffing oscillator. Various capacitive principles for signal detection and electrostatic frequency tuning are evaluated in terms of nonlinearity. A novel type of specially shaped electrode systems offering linear properties within an amplitude range of 10 micrometers, so-called curved comb capacitors, is developed for fabrication in SCREAM technology. / In der vorliegenden Arbeit werden Grundstrukturen frequenzselektiver kapazitiver Vibrationssensoren entwickelt und analysiert, deren spektrale Selektionswirkung durch Ausnutzung ihrer mechanischen Resonanzüberhöhung entsteht. Wesentliches Merkmal der Strukturen ist ihre spannungsgesteuerte Abstimmbarkeit, die auf elektrostatischen Prinzipien beruht. Es werden die direkte elektrostatische Frequenzabstimmung, basierend auf positionsabhängigen Feldkräften, sowie das Prinzip des Stress-Stiffening, basierend auf einer konstanten elektrostatischen Kraft, diskutiert. Die Entwicklung konzentriert sich auf Sensorstrukturen, die in klassischen Oberflächentechnologien gefertigt werden können. Experimentelle Tests der beiden genannten Abstimmprinzipien werden anhand von Strukturen in oberflächennaher Silizium-bulk-Mikromechanik (SCREAM) durchgeführt. Schwerpunkt der Arbeit sind nichtlineare Schwingungen der mechanischen Resonatorkomponente bei großen Amplituden, die durch die Resonanzüberhöhung entstehen. Für den Sonderfall des Duffing-Schwingers werden Dimensionierungsregeln zur Minimierung der Nichtlinearitäten entwickelt. Kapazitive Prinzipien zur Detektion bzw. elektrostatischen Abstimmung werden hinsichtlich ihrer Linearität geprüft. Es werden neuartige Elektrodensysteme für die SCREAM-Technologie, sogenannte Kurvenkammsysteme entwickelt, die bei Schwingamplituden bis zu 10 Mikrometer linear arbeiten.

Basic resonator structures for frequency-selective capacitive vibration sensors which exploit their mechanical resonance peak for spectral selectivity are developed and analyzed. As an important capability, the stuctures offer voltage-controlled frequency tuning realized by electrostatic principles. Direct electrostatic tuning based on displacement-dependent electrostatic forces as well as tuning by stress-stiffening based on constant electrostatic forces are discussed. The sensor structures are designed for fabrication using common silicon surface microtechnologies. Experimental tests of both mentioned tuning principles are carried out at structures fabricated using a surface technology known as SCREAM. A considerable part of the work focusses on nonlinear oscillations of the mechanical resonator at large amplitudes arising in resonance. Dimensioning rules for minimum nonlinear disturbance are derived from a detailed analysis of the Duffing oscillator. Various capacitive principles for signal detection and electrostatic frequency tuning are evaluated in terms of nonlinearity. A novel type of specially shaped electrode systems offering linear properties within an amplitude range of 10 micrometers, so-called curved comb capacitors, is developed for fabrication in SCREAM technology. / In der vorliegenden Arbeit werden Grundstrukturen frequenzselektiver kapazitiver Vibrationssensoren entwickelt und analysiert, deren spektrale Selektionswirkung durch Ausnutzung ihrer mechanischen Resonanzüberhöhung entsteht. Wesentliches Merkmal der Strukturen ist ihre spannungsgesteuerte Abstimmbarkeit, die auf elektrostatischen Prinzipien beruht. Es werden die direkte elektrostatische Frequenzabstimmung, basierend auf positionsabhängigen Feldkräften, sowie das Prinzip des Stress-Stiffening, basierend auf einer konstanten elektrostatischen Kraft, diskutiert. Die Entwicklung konzentriert sich auf Sensorstrukturen, die in klassischen Oberflächentechnologien gefertigt werden können. Experimentelle Tests der beiden genannten Abstimmprinzipien werden anhand von Strukturen in oberflächennaher Silizium-bulk-Mikromechanik (SCREAM) durchgeführt. Schwerpunkt der Arbeit sind nichtlineare Schwingungen der mechanischen Resonatorkomponente bei großen Amplituden, die durch die Resonanzüberhöhung entstehen. Für den Sonderfall des Duffing-Schwingers werden Dimensionierungsregeln zur Minimierung der Nichtlinearitäten entwickelt. Kapazitive Prinzipien zur Detektion bzw. elektrostatischen Abstimmung werden hinsichtlich ihrer Linearität geprüft. Es werden neuartige Elektrodensysteme für die SCREAM-Technologie, sogenannte Kurvenkammsysteme entwickelt, die bei Schwingamplituden bis zu 10 Mikrometer linear arbeiten.