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Dive into the research topics where Cornel Mihai Nicolescu is active.

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Featured researches published by Cornel Mihai Nicolescu.


Journal of Remanufacturing | 2012

Performance analysis of the closed loop supply chain

Farazee Ma Asif; Carmine Bianchi; Amir Rashid; Cornel Mihai Nicolescu

PurposeThe question of resource scarcity and emerging pressure of environmental legislations has brought a new challenge for the manufacturing industry. On the one hand, there is a huge population that demands a large quantity of commodities; on the other hand, these demands have to be met by minimum resources and pollution. Resource conservative manufacturing (ResCoM) is a proposed holistic concept to manage these challenges. The successful implementation of this concept requires cross functional collaboration among relevant fields, and among them, closed loop supply chain is an essential domain. The paper aims to highlight some misconceptions concerning the closed loop supply chain, to discuss different challenges, and in addition, to show how the proposed concept deals with those challenges through analysis of key performance indicators (KPI).MethodsThe work presented in this paper is mainly based on the literature review. The analysis of performance of the closed loop supply chain is done using system dynamics, and the Stella software has been used to do the simulation.FindingsThe results of the simulation depict that in ResCoM; the performance of the closed loop supply chain is much enhanced in terms of supply, demand, and other uncertainties involved. The results may particularly be interesting for industries involved in remanufacturing, researchers in the field of closed loop supply chain, and other relevant areas.OriginalityThe paper presented a novel research concept called ResCoM which is supported by system dynamics models of the closed loop supply chain to demonstrate the behavior of KPI in the closed loop supply chain.


International Journal of Mechatronics and Manufacturing Systems | 2011

Investigation of tool wear mechanisms in CGI machining

Gustav Grenmyr; Anders Berglund; Jacek K Kaminski; Cornel Mihai Nicolescu

In this study, the tool wear, including wear mechanisms on coated cemented carbide inserts were investigated in the turning of Compacted Graphite Iron (CGI) materials with varying nodularity. The results showed that increasing nodularity, in the range of 5-62%, affects wear at moderate and high cutting speeds without having the same impact at lower cutting speeds. A small difference in nodularity, in the lower range, such as an increase from 5% to 20%, has a more significant impact on wear than an increase from 20% to 62%.


Journal of Materials Processing Technology | 1996

On-line identification and control of dynamic characteristics of slender workpieces in turning

Cornel Mihai Nicolescu

Abstract Increasing interest has been shown in the design of process control systems for manufacturing. The interest is driven by the rapid development of advanced sensor technology, signal processing and the successful implementation of intelligent control systems. This paper focuses on the practical implementation and experimental test of an original system for identifying and controlling the dynamic characteristics of the cutting process. The theoretical research has primarily been devoted to the investigation of dynamic stability using stochastic modeling. This technique represents an ideal tool for properly describing the dynamic interaction between the dynamics of the cutting process and the machine tool structure. Modeling the dynamic behavior of the cutting process with an adequate stochastic model leads to an increase of the performance of the control system because the time available for control action increases. The control strategy has been developed in a flexible and distributive architecture that provides an effective and robust control of the cutting process. Real time experience of the control system is described.


Advanced Materials Research | 2013

Performance Evaluation of TiAlN-PVD Coated Inserts for Machining Ti-6Al-4V under Different Cooling Strategies

Salman Pervaiz; Ibrahim Deiab; Basil M. Darras; Amir Rashid; Cornel Mihai Nicolescu

Titanium alloys are labeled as difficult to materials because of their low machinability rating. This paper presents an experimental study of machining Ti-6Al-4V under turning operation. All machining tests were conducted under dry, mist and flood cooling approaches by using a TiAlN coated carbide cutting inserts. All cutting experiments were conducted using high and low levels of cutting speeds and feed rates. The study compared surface finish of machined surface and flank wear at cutting edge under dry, mist and flood cooling approaches. Scanning electron microscopy was utilized to investigate the flank wear at cutting edge under various cooling approaches and cutting conditions. Investigation revealed that TiAlN coated carbides performed comparatively better at higher cutting speed.


ASME 2003 International Mechanical Engineering Congress and Exposition | 2003

On a Finger Model Actuated With Shape Memory Alloy Artificial Muscles

Veturia Chiroiu; Ligia Munteanu; Traian Badea; Cornel Mihai Nicolescu

The simulation of a flexible finger, actuated with the shape memory alloys (SMAs) artificial muscles, is presented in the paper. The finger is modeled as a cylindrically rod with three embedded NiTi wires in a n aluminum matrix. Forces between NiTi wires causes bending in any plane perpendicular to the longitudinal axis of the finger. The NiTi wires are heated above the austenitic start temperature by passing an electrical current, and the deflected wire tends to return to the initial configuration. Using characteristics of SMAs such as high damping capacity, super-elasticity, thermo-mechanical behavior and shape memory, the actuation for the finger is theoretically introduced and discussed.Copyright


ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference | 2003

A Shape Description Model by Using Sensor Data From Touch

Venturia Chiroiu; Ligia Munteanu; Cornel Mihai Nicolescu

In this paper we consider the problem of recognizing the shape of a 3D object using tactile sensing by a dexterous robot hand. Our approach uses multiple fingers to slide along the surface of the object. From the sensing contact points we extracts a number of 3D points belonging to the surface of the object. The unknown surface Γ of the object is determined by using an “n-ellipsoid” model (Bonnet [1]). The set of parameters that define the surface Γ is determined such that the n-ellipsoid best fits the set of data points.Copyright


ASME 2011 International Design Engineering Technical ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011; Washington, DC; United States; 28 August 2011 through 31 August 2011 | 2011

Development of Cutting Force Measurement System for Gear Hobbing

Abebayehu Seifu Alazar; Mathias Werner; Cornel Mihai Nicolescu

Increasing demands for high quality and high performance gear manufacturing are reflected in a need for a model based investigation of gear hobbing process. This paper presents the development of a ...


International Journal of Machine Tools & Manufacture | 2006

Active vibration control in palletised workholding system for milling

Amir Rashid; Cornel Mihai Nicolescu


International Journal of Machine Tools & Manufacture | 2008

Design and implementation of tuned viscoelastic dampers for vibration control in milling

Amir Rashid; Cornel Mihai Nicolescu


Journal of Cleaner Production | 2013

Resource Conservative Manufacturing: an essential change in business and technology paradigm for sustainable manufacturing

Amir Rashid; Farazee Mohammad Abdullah Asif; Peter Krajnik; Cornel Mihai Nicolescu

Collaboration


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Andreas Archenti

Royal Institute of Technology

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Amir Rashid

Royal Institute of Technology

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Lorenzo Daghini

Royal Institute of Technology

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Anders Berglund

Royal Institute of Technology

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Qilin Fu

Royal Institute of Technology

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Md. Masud-Ur Rashid

Royal Institute of Technology

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Tomas Österlind

Royal Institute of Technology

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Salman Pervaiz

Rochester Institute of Technology - Dubai

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