Kılıç, Sadık Engin
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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
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engin.kilic@atilim.edu.tr
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Manufacturing Engineering
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Sustainable Development Goals
1NO POVERTY
0
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2ZERO HUNGER
0
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3GOOD HEALTH AND WELL-BEING
1
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4QUALITY EDUCATION
0
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5GENDER EQUALITY
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6CLEAN WATER AND SANITATION
0
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7AFFORDABLE AND CLEAN ENERGY
2
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8DECENT WORK AND ECONOMIC GROWTH
0
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
12
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10REDUCED INEQUALITIES
0
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11SUSTAINABLE CITIES AND COMMUNITIES
0
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
5
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13CLIMATE ACTION
1
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14LIFE BELOW WATER
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15LIFE ON LAND
1
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
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17PARTNERSHIPS FOR THE GOALS
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Documents
40
Citations
1080
h-index
18
Documents
29
Citations
617
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Scholarly Output
34
Articles
19
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77/114
Supervised MSc Theses
4
Supervised PhD Theses
2
WoS Citation Count
388
Scopus Citation Count
496
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0
Projects
0
WoS Citations per Publication
11.41
Scopus Citations per Publication
14.59
Open Access Source
10
Supervised Theses
6
| Journal | Count |
|---|---|
| The International Journal of Advanced Manufacturing Technology | 4 |
| Machining Science and Technology | 3 |
| Procedia CIRP | 3 |
| Journal of Cleaner Production | 2 |
| International Journal of Computer Integrated Manufacturing | 2 |
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34 results
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Now showing 1 - 10 of 34
Article Citation - WoS: 77Citation - Scopus: 101An Intelligent Process Planning System for Prismatic Parts Using Step Features(Springer London Ltd, 2007) Amaitik, Saleh M.; Kilic, S. EnginThis 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.Master Thesis Partikül Takviyeli Alüminyum Metal Matris Kompozit Malzemelerin Talaşlı İşlenmesinin Sonlu Elemanlar Yöntemiyle Modellenmesi(2018) Rake, Nakka Lotfy Rake; Kılıç, Sadık Engin; Kılıç, Sadık Engin; Kılıç, Sadık Engin; Oliaei, Samad Nadimi Bavil; Manufacturing Engineering; Manufacturing EngineeringMetal matris kompozitleri (MMC'ler) otomotiv, havacılık ve nükleer santraller gibi birçok teknik alanda önemli malzemeler haline gelmiştir. Bu uygulamaların çoğunda, nihai ürünün istenen özelliklerine ulaşmak için talaşlı işleme süreçleri gereklidir. Bu nedenle, MMC'lerin talaşlı işlemesini incelemek ve işleme operasyonları sırasında davranışlarını anlamak için süreç modellerini geliştirmek önemlidir. Proses modellerine dayanarak, belirli MMC'lerin kesme koşullarını optimize ederek talaşlı işleme kalitesi ve maliyeti iyileştirilebilir. Bu hedefe doğru bir adım olarak, partikül takviyeli alüminyum metal matris kompozitlerinin (p-Al MMC'ler) talaşlı işlenmesini incelemek için sonlu eleman modellemesi (FEM) kullanılır. Seçilen matris malzemesi,% 20'lik bir hacim fraksiyonu ile 20 μm çapa sahip silikon karbür (SiC) parçacıkları ile güçlendirililmiş alüminyum alaşımı A359'dur. P-Al-MMC'nin ortogonal kesimi üç farklı yaklaşımla incelenmiştir. Birinci yaklaşımda, eşdeğer bir homojen malzeme modeli (EHM) uygulanmaya çalışılırken, ikinci ve üçüncü yaklaşımlarda p-AlMMC, iki fazlı bir heterojen malzeme olarak modellenmiştir. İkinci ve üçüncü yaklaşımlar sırasıyla donatı parçacıklarının periyodik karesi ve periyodik altıgen dağılımlarına dayanmaktadır. Matris / kesici takım, matris / takviye ve takviye/kesme aleti arasındaki etkileşim göz önüne alınmıştır. FE simülasyonlarının sonuçları literatürdeki deneysel veriler ile karşılaştırılmıştır. Sonuçlar, yüksek gerilme oranı testleri kullanılarak kalibre edilen EHM modellerinin kesme kuvvetlerinde iyi tahminler veremeyebileceğini ve talaşlı işleme simülasyonları için yeniden kalibre edilmesi gerektiğini ortaya çıkarmıştır. Sonuçlar ayrıca, p-MMC'lerin heterojen bir materyal olarak modellenmesiyle, kesme kuvveti tahminlerinin doğruluğunun önemli ölçüde geliştirilebileceğini ortaya koymuştur.Article An Experimental Study of the Effects of Ultrasonic Cavitation-Assisted Machining on Ti-6al(Inderscience Publishers, 2024) Koçak,B.; Canbaz,H.İ.; Zengin,N.N.; Mumcuoğlu,A.B.; Aydın,M.B.; Namlu,R.H.; Kılıç,S.E.Ti-6Al-4V has extensive applications in high-tech industries like aviation, defence and biomedical. However, the cutting of Ti-6Al-4V is challenging due to its poor machinability. Recently, ultrasonic cavitation-assisted machining (UCAM) has emerged as a cutting process that utilises high-frequency and low-amplitude vibrations to induce the formation of cavitation bubbles, thereby improving cutting performance. Despite the benefits of UCAM, there is lack of research investigating its application in Ti-6Al-4V. This study aims to investigate the efficacy of UCAM in improving the cutting performance of Ti-6Al-4V and compare it with conventional methods. Specifically, the study compares UCAM with conventional machining (CM) under conventional cutting fluid. The study reveals that UCAM can reduce cutting forces by up to 49.5% and surface roughness by up to 51.9%. Additionally, UCAM yields more uniform, homogeneous surfaces with reduced surface damage compared to CM. These results demonstrate the potential of UCAM for enhancing cutting performance of Ti-6Al-4V. Copyright © 2024 Inderscience Enterprises Ltd.Conference Object Citation - WoS: 12Citation - Scopus: 13Multi-Axial Ultrasonic Vibration-Assisted Machining of Inconel 718 Using Al2O3-CuO Hybrid Nanofluid MQL(Elsevier Science BV, 2024) Namlu, Ramazan Hakki; Lotfi, Bahram; Kilic, Sadik EnginInconel 718 is a widely used superalloy in the aerospace industry, owing to its exceptional creep and corrosion resistance, as well as its ability to retain strength at elevated temperatures. However, its machinability presents challenges due to its low thermal conductivity and high work hardening rate during conventional machining, resulting in inadequate surface quality. To address this issue, a recent technique known as Ultrasonic Vibration-Assisted Machining (UVAM) has emerged. UVAM involves applying high-frequency, low-amplitude vibrations to the cutting tool or workpiece. Additionally, Minimum Quantity Lubrication (MQL) has been considered as an alternative cooling technique to enhance machining performance. Optimizing the performance of UVAM can be achieved by employing various vibration axes. Additionally, the effectiveness of MQL can be enhanced through the utilization of nanofluids. This study investigates the combined application of multi-axis UVAM and Al2O3-CuO added Hybrid Nanofluid MQL (HNMQL) during the milling of Inconel 718. The evaluation parameters include surface roughness, topography, burr formations, and cutting forces. The results demonstrate that the simultaneous use of multi-axis UVAM and HNMQL significantly improves the machining performance of Inconel 718. This combination leads to better surface quality and overall process efficiency, offering promising prospects for the aerospace industry and other applications involving difficult-to-cut materials. (c) 2024 The Authors. Published by Elsevier B.V.Master Thesis Ti-6al-4v İşlenmesinde Kesme Lokalizasyonu Başlangıcının Tahmini(2020) Yılmaz, Okan Deniz; Oliaei, Samad Nadimi Bavil; Kılıç, Sadık EnginHafif ve enerji tasarrufu sağlayan malzemelerin kullanılması otomotiv, havacılık ve biyomedikal vb. gibi farklı endüstrilerde önemli bir rol oynamaktadır. Mükemmel kimyasal ve mekanik Ozelliklerinden dolayı önemli bir hafif malzeme olan Ti-6Al-4V titanyum alaşımı, titanyum endüstrisinin çalışma atı olarak bilinir. Yaygın olarak kullanılmasına rağmen, Ti-6Al-4V düşük ısı iletkenliği, çoğu kesici alet malzemesiyle yüksek kimyasal afinitesi, düşük esneklik katsayısı ve kesme sırasında lokalize (tırtıklı) talaşların oluşumu nedeniyle kesilmesi zor bir malzeme olarak bilinir. Daha sonra, talaşlı imalatta tırtıklı talaş oluşumunun ortaya çıkması, işleme kuvvetlerindeki dalgalanmalarla, hızlandırılmış takım aşınmasıyla, yüzey kalitesinin bozulmasıyla, hassasiyetin azalmasıyla ve parçaların tolerans dışı işlenmesiyle sonuçlanacağından büyük önem taşır. Kesme lokalizasyonunun başlangıcını öngörme, talaşı imalat alanındaki en zorlu sorunlardan biridir, yani talaş morfolojisinin sürekli talaştan değişen bir morfolojiye periyodik olarak değiştiği koşulları belirler. Literatürdeki kesme lokalize talaşları ile ilgili konular, Ti-6Al-4V titanyum alaşımının işlenmesi sırasında kesme lokalizasyonu oluşumunun simülasyonu için çeşitli malzeme modellerinin geliştirilmesinde ana itici güç olmuştur. Bununla birlikte, geliştirilen modellerin Ti-6Al-4V işleme sırasında tırtıklı talaş oluşumunun başlangıcını öngörme doğruluğu ve kabiliyeti araştırılmamıştır. Bu tezin amacı, Ti-6Al-4V işleme sırasında tırtıklı talaş oluşumunun başlangıcını tahmin etmek için farklı malzeme modellerinin doğruluğunu değerlendirmektir. Sonlu eleman modellerinin sonuçları işleme kuvvetleri ve talaş morfolojisi açısından deney sonuçları ile karşılaştırılmıştır. Kazma kuvveti kesilmemiş talaş kalınlığı değiştirilerek farklı kesim hızlarında ekstrapolasyon yöntemi kullanılarak elde edilir ve kesme ve itme kuvvetlerini düzeltmek için kullanılır. Düzeltilmiş kesme ve itme kuvvetleri, Coulomb sürtünme katsayısını hesaplamak için kullanılır. Hem belirli hem belirsiz sonlu eleman kodları, deformasyon yumuşaması veya yumuşamasız, hasara sahip veya hasarsız, farklı malzeme modelleriyle kullanılmıştır. Her malzeme modelinin zayıflığı ve gücü, kritik kesme hızı, talaş morfolojisi ve işleme kuvvetlerinin tahmin edilebilmesi için araştırılmıştır. Bu çalışmanın sonuçları gösteriyor ki, hiperbolik teğet fonksiyonu formunda sıcaklık ve gerinim yumuşatma içeren değiştirilmiş Johnson-Cook malzeme modelinin, Ti-6Al-4V'nin işlenmesi sırasında kesme lokalizasyonunun başlangıcı için kabul edilebilir bir tahmin verebileceğini ortaya koydu.Conference Object Citation - WoS: 5Citation - Scopus: 10Design of a Customer's Type Based Algorithm for Partner Selection Problem of Virtual Enterprise(Elsevier Science Bv, 2016) Nikghadam, Shahrzad; Ozbayoglu, Ahmet Murat; Unver, Hakki Ozgur; Kilic, Sadik EnginVirtual Enterprise (VE) is a temporary platform for individual enterprises to collaborate with each other, sharing their core competencies to fulfill a customer demand. In order to improve the customer satisfaction, the most successful VEs select their consortium's members based on customer's preferences. There is quite extensive literature in the field of partner selection in VE, each proposing a new approach to evaluate and select the most appropriate partners among pool of enterprises. However, none of the studies in literature recommend which partner selection methodology should be used in each project with a particular customer attitude. In this study an algorithm is proposed which classifies the customers into three categories; passive, standard and assertive. Three different approaches; Fuzzy Logic-FAHP TOPSIS and Goal programming are used for each customer type respectively. This classification is beneficial since the problem's characteristics; such as vagueness of data, change as the customer's attitude varies. The results certify that, adopting this algorithm not only helps the VE to select the most appropriate partners based on customer preferences, but also the model adapts itself to each customer's attitude. As a result, the overall system flexibility is significantly improved. (C) 2016 The Authors. Published by Elsevier B.V.Article Citation - WoS: 28Citation - Scopus: 29Machining Performance and Sustainability Analysis of Al<sub>2</Sub>o<sub>3< Hybrid Nanofluid Mql Application for Milling of Ti-6al(Taylor & Francis inc, 2024) Lotfi, Bahram; Namlu, Ramazan Hakki; Kilic, S. EnginMachining of Ti-6Al-4V presents challenges due to its low thermal conductivity, and conventional cutting fluids (CCF) are inadequate in providing a productive and sustainable solution. This study aims to achieve more sustainable and productive machining of Ti-6Al-4V by utilizing Al2O3 and CuO-added Nanofluid Minimum Quantity Lubrication (NMQL) individually and in hybrid form with different concentrations. A comparison is made with pure-MQL, CCF and dry conditions. The study consists of three stages. In the first stage, the physical properties of the coolants, like contact angle and surface tension, are investigated. The second stage involves slot milling operations, and various outputs including cutting forces, surface roughness, surface topography, surface finish, and subsurface microhardness are analyzed. In the last stage, a sustainability analysis is conducted based on the Pugh Matrix Approach. The results indicate that Al2O3-NMQL exhibits lower contact angles and surface tensions compared to other conditions. Furthermore, HNMQL applications result in lower cutting forces (up to 46.5%), surface roughness (up to 61.2%), and microhardness (up to 6.6%), while yielding better surface finish and topography compared to CCF. The sustainability analysis demonstrates that HNMQL application is the most suitable option for achieving sustainable machining of Ti-6Al-4V.Article Citation - WoS: 3Citation - Scopus: 4Investigation of the Combined Effects of Ultrasonic Vibration-Assisted Machining and Minimum Quantity Lubrication on Al7075-T6(John Wiley and Sons Ltd, 2024) Namlu, R.H.; Cetin, B.; Lotfi, B.; Kiliç, S.E.The aluminum alloy Al7075-T6 finds extensive application in the aviation and automotive industries, where machining plays a pivotal role. Emerging techniques such as Ultrasonic Vibration-Assisted Machining (UVAM) and Minimum Quantity Lubrication (MQL) hold promise for enhancing machining efficiency. In this study, the combined use of UVAM and MQL for slot milling of Al7075-T6 was investigated. The results demonstrate that UVAM reduced cutting forces by an average of 10.87% in MQL and 8.31% in Conventional Cutting Fluid (CCF) conditions when compared to Conventional Machining (CM). In addition, UVAM yielded significantly improved surface finishes, characterized by an average reduction in surface roughness of 41.86% in MQL and 32.11% in CCF conditions relative to CM. Furthermore, surfaces subjected to UVAM exhibited fewer instances of burn marks and tool-induced markings, reduced chip splashing, and more uniform surface integrity compared to those manufactured with CM. Lastly, chips generated through UVAM exhibited distinct characteristics, notably shorter length, curvier shape, and a distinctive half-turn morphology when compared with the irregular chips produced through CM. In conclusion, our findings underscore the potential of UVAM in synergy with MQL to augment the machining of Al7075-T6 alloy, thereby yielding superior-quality machined components with enhanced operational efficiency. © 2025 Elsevier B.V., All rights reserved.Article Citation - WoS: 15Citation - Scopus: 20A Survey of Partner Selection Methodologies for Virtual Enterprises and Development of a Goal Programming-Based Approach(Springer London Ltd, 2016) Nikghadam, Shahrzad; Sadigh, Bahram Lotfi; Ozbayoglu, Ahmet Murat; Unver, Hakki Ozgur; Kilic, Sadik EnginA virtual enterprise (VE) is a platform that enables dynamic collaboration among manufacturers and service providers with complementary capabilities in order to enhance their market competitiveness. The performance of a VE as a system depends highly on the performance of its partner enterprises. Hence, choosing an appropriate methodology for evaluating and selecting partners is a crucial step toward creating a successful VE. In this paper, we begin by presenting an extensive review of articles that address the VE partner selection problem. To fill a significant research gap, we develop a new goal programming (GP)-based approach that can be applied in extreme bidding conditions such as tight delivery timelines for large demand volumes. In this technique, fuzzy analytic hierarchy process (F-AHP) is used to determine customer preferences for four main criteria: proposed unit price, on-time delivery reliability, enterprises' past performance, and service quality. These weights are then incorporated into the GP model to evaluate bidders based on customers' preferences and goals. We present a case study in which we implement the F-AHP-GP technique and verify the model's applicability, as it provides a more flexible platform for matching customers' preferences.Article Citation - WoS: 38Citation - Scopus: 45Slot milling of titanium alloy with hexagonal boron nitride and minimum quantity lubrication and multi-objective process optimization for energy efficiency(Elsevier Sci Ltd, 2020) Osman, Khaled Ali; Yilmaz, Volkan; Unver, Hakki Ozgur; Seker, Ulvi; Kilic, Sadik EnginThe implementation of sustainable manufacturing techniques to make machining processes more eco-friendly is a challenging topic that has attracted significant attention from the industrial sector for many years. As one of the dominant manufacturing processes, machining can have a considerable impact in terms of ecology, society, and economics. In certain areas, this impact is a result of using certain cutting fluids, especially during the machining of difficult-to-cut alloys such as titanium, where a large amount of cutting fluid is wasted to ease the cutting process. In such scenarios, identifying suitable machining conditions to supply cutting fluids using eco-friendly techniques is currently a major focus of academic and industrial sector research. In this study, effects of minimum quantity lubrication with different concentrations of hexagonal boron nitride nanoparticles on the surface roughness and cutting force of slot-milled titanium alloy is investigated using analysis of variance and response surface methodology. The results reveal that all responses are sensitive to changes in the feed per tooth, cutting depth, and cutting fluid flow rate. The regression functions generated were combined with particle swarm optimization in order to improve energy-efficiency, as well. Possible sectorial scenarios were generated for wider industrial adoption. With this study, it was proven that utilizing minimum quantity lubrication with hexagonal boron nitride nanoparticles can reduce both cutting force and surface roughness, which makes it to be a promising alternative as a nanoparticle augmented minimum quantity lubrication method for machining titanium alloys. (C) 2020 Elsevier Ltd. All rights reserved.