Sadık Engin Kılıç

Kılıç, Sadık Engin

Name Variants

K.,Sadik Engin
Sadık Engin, Kılıç
Kılıç S.
S. E. Kılıç
Kılıç, Sadık Engin
S.E.Kılıç
Kiliç S.
S.,Kılıç
Kilic S.
K.,Sadık Engin
K., Sadik Engin
Kilic,S.E.
S. E. Kilic
K., Sadık Engin
Kılıç,S.E.
Sadik Engin, Kilic
Sadık Engin Kılıç
S., Kilic
Kilic, Sadik Engin
Kilic,Sadik Engin
S.E.Kilic
Kilic, S. Engin

Job Title

Profesör Doktor

Email Address

engin.kilic@atilim.edu.tr

Scholarly Output

22

Articles

16

Citation Count

191

Supervised Theses

3 Scholarly Output Search Results

Now showing 1 - 10 of 22

An Intelligent Process Planning System for Prismatic Parts Using Step Features
(Springer London Ltd, 2007) Amaitik, Saleh M.; Kilic, S. Engin; Manufacturing Engineering
This paper presents an intelligent process planning system using STEP features (ST-FeatCAPP) for prismatic parts. The system maps a STEP AP224 XML data file, without using a complex feature recognition process, and produces the corresponding machining operations to generate the process plan and corresponding STEP-NC in XML format. It carries out several stages of process planning such as operations selection, tool selection, machining parameters determination, machine tools selection and setup planning. A hybrid approach of most recent techniques ( neural networks, fuzzy logic and rule-based) of artificial intelligence is used as the inference engine of the developed system. An object-oriented approach is used in the definition and implementation of the system. An example part is tested and the corresponding process plan is presented to demonstrate and verify the proposed CAPP system. The paper thus suggests a new feature-based intelligent CAPP system for avoiding complex feature recognition and knowledge acquisition problems.
An Experimental Study on Ultrasonic-Assisted Drilling of Inconel 718 Under Different Cooling/Lubrication Conditions
(Springer London Ltd, 2024) Erturun, Omer Faruk; Tekaut, Hasan; Cicek, Adem; Ucak, Necati; Namlu, Ramazan Hakki; Lotfi, Bahram; Kilic, S. Engin; Mechanical Engineering; Department of Mechanical Engineering; Manufacturing Engineering
Ultrasonic-assisted drilling (UAD) is one of the efficient and innovative methods to improve the drillability of difficult-to-cut materials. In the present study, the UAD of Inconel 718 was investigated under different cooling and/or lubrication conditions. The drilling tests were carried out at a constant cutting speed (15 m/min) and a feed (0.045 mm/rev) using uncoated and TiAlN-coated solid carbide drills under dry, conventional cutting fluid (CCF), and minimum quantity lubrication (MQL) conditions. The applicability of UAD to drilling Inconel 718 was evaluated in terms of thrust force, surface roughness, roundness error, burr formation, subsurface microstructure and microhardness, tool wear, and chip morphology. The test results showed that, when compared to conventional drilling (CD), UAD reduced the thrust force and improved the hole quality, tool life, and surface integrity under all conditions. Good surface finish, lower roundness error, and minimum burr heights were achieved under CCF conditions. MQL drilling provided lower thrust forces, better tool performance, and good subsurface quality characteristics. In addition, the simultaneous application of CCF-UAD and MQD-UAD showed significantly better performance, especially when using the coated tool.
Evaluation of Partner Companies Based on Fuzzy Inference System for Establishing Virtual Enterprise Consortium
(Springer Verlag, 2015) Nikghadam,S.; LotfiSadigh,B.; Ozbayoglu,A.M.; Unver,H.O.; Kilic,S.E.; Manufacturing Engineering
Virtual Enterprise (VE) is one of the growing trends in agile manufacturing concepts. Under this platform companies with different skills and core competences are cooperate with each other in order to accomplish a manufacturing goal. Success of VE, as a consortium, highly depends on the success of its partners. So it is very important to choose the most appropriate companies to enroll in VE. In this study a Fuzzy Inference System (FIS) based approach is developed to evaluate and select the potential enterprises. The evaluation is conducted based on four main criteria; unit price, delivery time, quality and past performance. These criteria are considered as inputs of FIS and specific membership functions are designed for each. By applying fuzzy rules the output of the model, partnership chance, is calculated. In the end, the trustworthy of the model is tested and verified by comparing it with fuzzy-TOPSIS technique providing a sample. © Springer International Publishing Switzerland 2015.
Partner Selection in Formation of Virtual Enterprises Using Fuzzy Logic
(SciTePress, 2015) Nikghadam,S.; Sadigh,B.L.; Ozbayoglu,A.M.; Unver,H.O.; Kilic,S.E.; Manufacturing Engineering
Virtual Enterprise (VE) is a temporary cooperation among independent enterprises to build up a dynamic collaboration framework for manufacturing. One of the most important steps to construct a successful VE is to select the most qualified partners to take role in the project. This paper is a survey of ranking the volunteer companies with respect to four evaluation criteria, proposed unit price, delivery time, quality and enterprises' past performance. Fuzzy logic method is proposed to deal with these four conflicting criteria, considered as input variables of the model. As each criterion is different in nature with the other criterion, various membership functions are used to fuzzify the input values. The next step is to construct the logical fuzzy rules combining the inputs to conclude the output. Mamdani's approach is adopted to evaluate the output in this Fuzzy Inference System. The result of the model is the partnership chance of each partner to participate in VE. A partner with highest partnership chance will be the winner of the negotiation. Implementation of this model to the illustrative example of a partner selection problem in virtual enterprise and comparing it with fuzzy-TOPSIS approach verifies the feasibility of the proposed approach and the computational results are satisfactory. Copyright © 2015 SCITEPRESS - Science and Technology Publications All rights reserve.
Cutting Force Prediction in Ultrasonic-Assisted Milling of Ti-6al With Different Machining Conditions Using Artificial Neural Network
(Cambridge University Press, 2021) Namlu,R.H.; Turhan,C.; Sadigh,B.L.; Kiliç,S.E.; Energy Systems Engineering; Mechanical Engineering; Manufacturing Engineering
Ti-6Al-4V alloy has superior material properties such as high strength-to-weight ratio, good corrosion resistance, and excellent fracture toughness. Therefore, it is widely used in aerospace, medical, and automotive industries where machining is an essential process for these industries. However, machining of Ti-6Al-4V is a material with extremely low machinability characteristics; thus, conventional machining methods are not appropriate to machine such materials. Ultrasonic-assisted machining (UAM) is a novel hybrid machining method which has numerous advantages over conventional machining processes. In addition, minimum quantity lubrication (MQL) is an alternative type of metal cutting fluid application that is being used instead of conventional lubrication in machining. One of the parameters which could be used to measure the performance of the machining process is the amount of cutting force. Nevertheless, there is a number of limited studies to compare the changes in cutting forces by using UAM and MQL together which are time-consuming and not cost-effective. Artificial neural network (ANN) is an alternative method that may eliminate the limitations mentioned above by estimating the outputs with the limited number of data. In this study, a model was developed and coded in Python programming environment in order to predict cutting forces using ANN. The results showed that experimental cutting forces were estimated with a successful prediction rate of 0.99 with mean absolute percentage error and mean squared error of 1.85% and 13.1, respectively. Moreover, considering too limited experimental data, ANN provided acceptable results in a cost-and time-effective way. Copyright © The Author(s), 2020. Published by Cambridge University Press.
A Framework for Energy Reduction in Manufacturing Process Chains (e-Mpc) and a Case Study From the Turkish Household Appliance Industry
(Elsevier Sci Ltd, 2016) Uluer, Muhtar Ural; Unver, Hakki Ozgur; Gok, Gozde; Fescioglu-Unver, Nilgun; Kilic, Sadik Engin; Manufacturing Engineering
Energy is a major input in the manufacturing sector. Its security and efficiency are of supreme importance to a nation's industrial activities. Energy consumption also has serious environmental impacts in terms of Greenhouse Gas (GHG) emissions. In order to use energy more efficiently, simply designing parts and planning manufacturing processes with an energy-aware mindset is insufficient; it is also necessary to model and assess the energy efficiency of a process chain from a holistic point of view. In this work, we propose an integrated energy reduction framework and the internal methods to implement it. Our framework builds on three pillars. Creating an energy profile of a process chain is the first step in characterizing a manufacturing system in terms of energy demand. Energy-aware part designs and process plans are based on ISO/STEP 10303 AP224 standards in order to estimate the embodied energy of a mechanical part. Finally, using discrete event simulation methods, the energy consumption of a process chain is assessed and reduction scenarios are generated based on design or operational alternatives. A data collection and analytics system visualizing measures and key performance indicators (KPIs) also must be implemented in order to measure real consumption values and track improvement results over time. The energy reduction in manufacturing process chains (E-MPC) framework is unique in that it provides a structured method which enables the embodied energy of a part to be estimated during early design stages and further enables the evaluation of design impacts on process chains, thereby recognizing the dynamic nature of systems. A pilot case study of the framework was implemented at the largest household appliance manufacturer in Turkey, Arcelik A.S. In order to evaluate its usefulness and validity, we performed a detailed implementation on a fully automated crankshaft manufacturing line in Arcelilc's refrigerator compressor plant. The results reveal that design improvements estimated gains would reach 2%, whereas operational improvements yield up to 10% energy savings per produced part. (C) 2015 Elsevier Ltd. All rights reserved.
EFFECT OF THE MQL TECHNIQUE ON CUTTING FORCE AND SURFACE QUALITY DURING THE SLOT MILLING OF TITANIUM ALLOY
(inst Za Kovinske Materiale I in Tehnologie, 2022) Osman, Khaled Ali; Yilmaz, Volkan; Unver, Hakki Ozgur; Seker, Ulvi; Kilic, S. Engin; Manufacturing Engineering
In this study, the effects of four control parameters, i.e., the cutting speed (v(c)), feed per tooth (f), depth of cut (a(p)), and flow rate of the cutting fluid (Q), on the surface roughness (R-a) and cutting force (F-c) were investigated in the slot milling of titanium alloys (Ti-6A1-4V). The effects of the control parameters were determined by a statistical analysis. In addition, RSM models for R-a and F-c during machining under three cooling/lubrication conditions, i.e., dry, flood, and minimum quantity lubrication (MQL), were obtained. The results revealed that both R-a and F-c are sensitive to changes in f, a(p) and Q. It was found that the MQL condition generates lower values of R-a where the surface roughness value is 0.227 mu m. By contrast. F-c values under the MQL condition were close to those of the flood condition and at times even better. The machining performance at a cutting-fluid flow rate of 36 mL/h under the MQL condition was found to be the best under certain machining conditions. MQL was found to be an effective alternative technique for conventional conditions when machining Ti-6Al-4V.
İşlenmesi Zor Malzemelerin Minimum Miktarda Yağlama Yöntemi Kullanılarak Sürdürülebilir Talaşlı İmalatı
(2019) Osman, Khaled Alı; Kılıç, Sadık Engin; Ünver, Hakkı Özgür; Manufacturing Engineering
Küresel sanayi eğilimleri talaşlı işlemlerin doğa dostu ve sürdürülebilir imalat açısından kabul edilebilir nitelikte olması yönündedir. Bu bakımdan kesme sıvısı tüketiminin azaltılması statejileri fazlaca ilgi çekici ve zorlu bir araştırma konusu olarak literatürde geniş bir şekilde tartışılagelmektedir. Kesme sıvısı kullanımına alternatif olmak üzere çok sayıda etkin strateji önerilmiştir. En az miktarda yağlama yöntemi çevre dostu ve ekonomik oluşuyla bu yöntemlerden bıri olarak öne çıkmaktadır. Talaşlı işlemlerde en az miktarda yağlama yöntemi uygulamalarındaki yüksek beklentilere karşın, bu yöntemin özellikle Ti alaşımları (Ti 6Al 4V) gibi. işlenmesi zor malzemelerde kullanımında hala çok sayıda kısıtlayıcı bulunmaktadır. En az miktarda yağlama yönteminin bu türlü zor işlem koşullarındaki yetersizliği en kesme sıvılarının az miktarda yağlama uygulamasındaki özelliklerinin iyileştirilmesine odaklanan çeşitli yöntemler üzerinde çalışmalara yol açmıştır. Son yıllarda bu yöndeki çalışmaların çoğunun en az miktarda yağlamada nanoteknoloji kullanımıyla iyileştirme sağlamak üzerine olduğu görülmektedir. Bu çalışmada Ti 6Al 4V malzemenin kanal frezelenmesinde enaz miktarda yağlayıcı sisteminde hegzagonal boron nitrür (hBN) nano parçacıklı kesme sıvısı kullanan doğa dostu yağlama/soğutma stratejisi için özgün bir yaklaşım önerilmektedir. Bu çalışmadaki özgünlük nano akışkan kullanımıyla kesme sıvısının yağlama/soğutma etkinliğini ve enaz miktar yağlayıcı yöntemindeki ısıl iletkenliği artırarak Ti 6Al 4V'nin işlenebilirliğini iyileştirmek yönündedir. Bu amaç doğrultusunda, araştırma özellikle kesme sıvısı içine dağılmış hBN parçacıklarının etkisi üzerine odaklanmaktadır. hBN nano parçacıklı enaz miktar yağlayıcı uygulamasının Ti 6Al 4V malzemenin kanal ferezelenme işlemi üzerindeki etkisinin kapsamlı şekilde anlaşılabilmesi için çok sayıda deney planlanlanarak gerçekleştirilmiş ve hBN parçacıklı enaz miktarda yağlayıcı kullanılarak elde edilen sonuçlar, kesme sıvısı kullanmadan, yüksek debili kesme sıvısı kullanarak ve enaz miktarda yağlayıcı kullanarak elde edilen sonuçlarla karşılaştırılmıştır. Kesme kuvveti (Fc) ve yüzey pürüzlüğü (Ra) ölçüm değerlerinin her biri beş seviyedeen oluşan 5 faktörle: kesme hızı (v), diş başına ilerleme (fn), eksenel kesme derinliği (ap), kesme sıvısı akış hızı (Q) and hBN nano parçacık konsentrasyonu ile değişimini belirlemek üzere Cevap Yüzeyi Metodolojisine dayalı Merkezi Karma Tasarımı kullanılarak deney tasarımı oluşturulmuştur. Cevap Yüzey Metodolojisi kullanılarak deney sonuçlarından oluşturulan ortalama yüzey pürüzlülüğü Ra ve Özgül kesme enerjisi (SEC) için oluşturulan modeller kullanılarak Çok Amaçlı Parçacık Sürü Optimizasyonu (PSO) çalışması yapıldı. Çalışma sonuçları tüm çıktıların diş başı ilerleme, eksenelkesme derinliği ve kesme sıvısı akış hızına duyarlı olduğunu göstermiştir. Ancak bu çıktılar kesme hızına duyarlı değildir. Ayrıca, enaz kesme sıvısı (MQL) hBN nano parçacıklarla birlikte uygulandığında kesme kuvveti Fc ve yüzey pürüzlülüğü Ra değerleri azalmıştır. Sonuç olarak, Ti 6Al 4V malzemenin işlenmesinde hBN nano parçacıklarla birlikte enaz kesme sıvısı (MQL) uygulamasının geleneksel akıtma kesme sıvısı uygulamasına etkin bir alternative olduğu belirlenmiştir.
A Neural Network Model for the Assessment of Partners' Performance in Virtual Enterprises
(Springer London Ltd, 2007) Sari, Burak; Amaitik, Saleh; Kilic, S. Engin; Manufacturing Engineering
In response to increasing international competition, enterprises have been investigating new ways of cooperating with each other to cope with today's unpredictable market behaviour. Advanced developments in information & communication technology (ICT) enabled reliable and fast cooperation to support real-time alliances. In this context, the virtual enterprise (VE) represents an appropriate cooperation alternative and competitive advantage for the enterprises. VE is a temporary network of independent companies or enterprises that can quickly bring together a set of core competencies to take advantage of market opportunity. In this emerging business model of VE, the key to enhancing the quality of decision making in the partner companies' performance evaluation function is to take advantage of the powerful computer-related concepts, tools and technique that have become available in the last few years. This paper attempts to introduce a neural network model, which is able to contribute to the extrapolation of the probable outcomes based on available pattern of events in a virtual enterprise. Quality, delivery and progress were selected as determinant factors effecting the performance assessment. Considering the features of partner performance assessment and neural network models, a back-propagation neural network that includes a two hidden layers was used to evaluate the partner performance.
Combined Use of Ultrasonic-Assisted Drilling and Minimum Quantity Lubrication for Drilling of Niti Shape Memory Alloy
(Taylor & Francis inc, 2023) Namlu, Ramazan Hakki; Lotfi, Bahram; Kilic, S. Engin; Yilmaz, Okan Deniz; Akar, Samet; Mechanical Engineering; Department of Mechanical Engineering; Manufacturing Engineering
The drilling of shape-memory alloys based on nickel-titanium (Nitinol) is challenging due to their unique properties, such as high strength, high hardness and strong work hardening, which results in excessive tool wear and damage to the material. In this study, an attempt has been made to characterize the drillability of Nitinol by investigating the process/cooling interaction. Four different combinations of process/cooling have been studied as conventional drilling with flood cooling (CD-Wet) and with minimum quantity lubrication (CD-MQL), ultrasonic-assisted drilling with flood cooling (UAD-Wet) and with MQL (UAD-MQL). The drill bit wear, drilling forces, chip morphology and drilled hole quality are used as the performance measures. The results show that UAD conditions result in lower feed forces than CD conditions, with a 31.2% reduction in wet and a 15.3% reduction in MQL on average. The lowest feed forces are observed in UAD-Wet conditions due to better coolant penetration in the cutting zone. The UAD-Wet yielded the lowest tool wear, while CD-MQL exhibited the most severe. UAD demonstrated a & SIM;50% lower tool wear in the wet condition than CD and a 38.7% in the MQL condition. UAD is shown to outperform the CD process in terms of drilled-hole accuracy.

Kılıç, Sadık Engin

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Scholarly Output

22

Articles

16

Citation Count

191

Supervised Theses

3

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