Application of Self-Propelled Rotary Tools for Turning of Difficult-to-machine Materials

AbstractThe paper presents some aspects of turning of difficult to machine materials with self-propelled rotary tools (SPRT). The main criterion of the rotary tools performance was the attainable surface quality, waviness and adhered chips. The dependence of the insert rotational speed on cutting parameters was also investigated. Original method of measurement of this speed was developed. Obtained results showed, that the speed is lower than theoretical, reported in literature. Stiffness and run out of the tools were measured. Cutting force measurements revealed substantial run-out of the rotating insert. Some important drawbacks and limitations of SPRT application were revealed

Automatic Multiple Sensor Data Acquisition System in a Real-time Production Environment

AbstractThis paper presents a multiple sensor automatic data acquisition system deployed on a CNC turning center in a real- time production environment at Schivo Precision, Waterford, Ireland. The machine has been fitted with a variety of sensors measuring acoustic emission, cutting force & vibration installed at the turret of the machine, coupled with an automatic image acquisition system monitoring the wear on the tools in real time after each operation. The combination of sensors and data acquisition is novel in that it brings together all the currently popular sensoring techniques in the field of tool condition monitoring and tests the validity of these techniques in a live production environment. The sensor data acquisition and optical tool wear measurements are controlled by a computer automatically with no intervention from the machine tool operator in normal production on a variety of component geometries, materials and cutting inserts. All the acquired data is available on-line for the research partners in the various countries. Independent operator feedback on the performance of the process in terms of both product dimensional stability and machined surface stability is used for evaluation of the acquired data applicability for tool condition monitoring

Ten quick tips for editing Wikidata

[no abstract available

multi sensor signal processing for catastrophic tool failure detection in turning

Abstract This paper presents a methodology aimed at the identification of a catastrophic tool failure (CTF) in turning processes based on multiple sensor monitoring. Experimental turning tests were carried out under various cutting conditions (cutting speed, feed, depth of cut) using a multi-sensor monitoring system consisting of a triaxial force sensor to acquire the three components of the cutting force and an acoustic emission sensor. Signals analysis, interpretation and processing was performed on the multi-sensor signals acquired during the turning process and relevant statistical features were extracted and used to develop a methodology for the automatic CTF detection during turning

The most influential medical journals according to Wikipedia: Quantitative analysis

Wikipedia, the multilingual encyclopedia, was founded in 2001 and is the world’s largest and most visited online general reference website. It is widely used by health care professionals and students. The inclusion of journal articles in Wikipedia is of scholarly interest, but the time taken for a journal article to be included in Wikipedia, from the moment of its publication to its incorporation into Wikipedia, is unclear

Bilingual children's phonology shows evidence of transfer, but not deceleration in their L1

Bilingual language development might be characterized by transfer, deceleration, and/or acceleration, the first two being relevant for the language impairment diagnosis. Studies on bilingual children’s productive phonology show evidence of transfer, but little is known about deceleration in this population. Here, we focused on phonological transfer and deceleration in L1 speech of typically developing Polish-English bilingual children of Polish migrants to the United Kingdom (aged 4.7-7). We analyzed L1 speech samples of 30 bilinguals and 2 groups of Polish monolinguals, matched to the bilinguals on age or vocabulary size. We found that bilingual children’ speech (both simultaneous and early sequential) was characterized by transfer, but not by deceleration, suggesting that while phonological deceleration phases out in children above the age of 4.7, transfer does not. We discuss our findings within the PRIMIR model of bilingual phonological acquisition (Curtin et al., 2011) and show their implications for SLT practices

Involuntary Disclosures And Stakeholder-Initiated Communication on Social Media

This study explores firm responses to stakeholder-initiated involuntary disclosures, which are disclosures made by stakeholders about an organization but are against the will of managers, and subsequent stakeholder reactions. We analyzed 134,977 firm Twitter replies from seven companies to identify their responses to involuntary corporate social responsibility (CSR) disclosures and find that companies demonstrate different attitudes toward engagement in the exchange about involuntary disclosures. Whereas some companies communicate with stakeholders, others are almost silent. When a company engages in communication with its stakeholders, the communication is mostly one-way, and mortification or dissent are the likely response strategies. We also find that while stakeholders generally do not continue to engage with corporate communications, they are likely to respond when companies deny the information revealed by involuntary disclosure. Our results suggest that involuntary disclosures on social media are not able to improve communication between stakeholders and companies

Diagnostic System of Drill Condition in Laminated Chipboard Drilling Process

The paper presents an on-line automatic system for recognition of the drill condition in a laminated chipboard drilling process. Two states of the drill are considered: the sharp enough (still able to drill holes acceptable for processing quality) and worn out (excessive drill wear, not satisfactory from the quality point of view of the process). The automatic system requires defining the diagnostic features, which are used as the input attributes to the classifier. The features have been generated from 5 registered signals: feed force, cutting torque, noise, vibration and acoustic emission. The statistical parameters defined on the basis of the auto regression model of these signals have been used as the diagnostic features. The sequential step-wise feature selection is applied for choosing the most discriminative set of features. The final step of recognition is done by support vector machine classifier working in leave one out mode. The results of numerical experiments have confirmed good quality of the proposed diagnostic system

Faqs about open access: The political economy of publishing in anthropology and beyond

Editores: Ainhoa Montoya, Marta Pérez, Grégory Dallemagne & Víctor del ArcoTraducido por Ainhoa Montoya, Marta Pérez, Grégory Dallemagne, Víctor del Arco y Manuela Burns.Pre-publicación del Taller Preguntas frecuentes sobre open access: la economía política en torno a las publicaciones en antropología y en otras ciencias sociales (Open Access in Antrophology and beyond), celebrado en Madrid los días 16 y 17 de octubre de 2014. Organizado por el Grupo de Investigación en Antropología de Orientación Pública (GIAOP) de la Universidad Autónoma de Madrid