Lotfısadıgh, Bahram

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Lotfısadıgh, Bahram

Name Variants

Lotfisadigh, B.
Lotfısadıgh, Bahram
Bahram, Lotfısadıgh
Lotfisadigh, Bahram
L.,Bahram
B.,Lotfisadigh
L., Bahram
Bahram, Lotfisadigh
B., Lotfisadigh
B.,Lotfısadıgh
Lotfısadıgh,B.
Lotfisadigh,B.
Sadigh, Bahram Lotfi

Job Title

Doktor Öğretim Üyesi

Email Address

bahram.lotfisadigh@atilim.edu.tr

Main Affiliation

Manufacturing Engineering

Status

Former Staff

Full item page

Scholarly Output

20

Articles

12

Citation Count

66

Supervised Theses

4 Scholarly Output Search Results

Now showing 1 - 10 of 20

Citation - Scopus: 1
Multi-Axial Ultrasonic Vibration-Assisted Machining of Inconel 718 Using Al2o3-Cuo Hybrid Nanofluid Mql
(Elsevier B.V., 2024) Namlu,R.H.; Lotfi,B.; Kiliç,S.E.; Mechanical Engineering; Department of Mechanical Engineering
Inconel 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. © 2024 The Authors. Published by Elsevier B.V.
Citation - WoS: 9
Citation - Scopus: 9
Machining Performance and Sustainability Analysis of Al₂o_{3< Hybrid Nanofluid Mql Application for Milling of Ti-6al}
(Taylor & Francis inc, 2024) Lotfi, Bahram; Namlu, Ramazan Hakki; Kilic, S. Engin; Mechanical Engineering; Department of Mechanical Engineering; Manufacturing Engineering
Machining 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.
Citation - WoS: 15
Citation - Scopus: 20
A 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 Engin; Manufacturing Engineering
A 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.
Citation - WoS: 4
Citation - Scopus: 5
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.
Ayrık Üretim Sistemlerinde Kestirimci Bakım için Akıllı Süreç Planlama Uygulaması
(2022) Al-humaırı, Elaf Rıyadh Resen; Lotfısadıgh, Bahram; Amınbakhsh, Saman; Manufacturing Engineering
Sıkı küresel pazar rekabeti ve sürekli değişen müşteri talepleri, üretim işletmelerini esnek üretim sistemlerine doğru itmektedir. Bu şekilde, süreç planlama ve çizelgeleme adımları üreticiler için gerçekten çok önemlidir. Özellikle hacim ve ürün tipi esnekliği olan esnek atölyelerde bu süreçler daha da kritik hale geliyor. 'Endüstri 4.0' adı verilen yeni bir sanayi devrimi, işletmelerin bu ezici rekabet baskısı ile yüzleşmelerini desteklemek ve süreç planlama ve çizelgeleme süreçlerinin verimliliğini artırmak için bilgisayar ve bilgi teknolojilerini üretim sistemleriyle entegre ederek yeni teknolojik olanaklar getiriyor. Etmen tabanlı sistemler, üretim sistemlerinin sanallaştırılması, siber-fiziksel katmanların oluşturulmasıyla sistem simülasyonu, dijital ikizler ve diğerleri gibi bu teknolojilerden bazıları literatürde çeşitli araştırmalarda çalışılmış ve geliştirilmiş olarak adlandırılabilir. Bu araştırmada, üretim alanının ontolojik modellemesi ve muhakeme kurallarının süreç planlama aşamasına bir çözüm olarak Lekin çizelgeleme programı ile entegre edilerek yeni bir metodoloji önerilmiştir. Bu tezde, önce talaşlı imalat işlemleri için geliştirilen ontoloji etki alanı modeli anlatılmış, daha sonra tasarlanarak eklenen muhakeme kuralları ve SPARQL sorguları detaylı olarak anlatılmıştır. Son olarak, Lekin programı yerleşik sezgisellerinden elde edilen çizelgeleme sonuçları açıklanmıştır.
Citation - Scopus: 17
An Experimental Study on Surface Quality of Al6061-T6 in Ultrasonic Vibration-Assisted Milling With Minimum Quantity Lubrication
(Elsevier B.V., 2022) Namlu,R.H.; Yilmaz,O.D.; Lotfisadigh,B.; Kiliç,S.E.; Mechanical Engineering; Manufacturing Engineering
Al6061-T6 is frequently used in the automotive and aerospace industries, where milling is an essential process, due to its high strength-to-weight ratio. In order to achieve improved surface quality in milling, Ultrasonic Vibration-Assisted Milling (UVAM) has been introduced recently. Besides, Minimum Quantity Lubrication (MQL) is another advanced method to enhance the surface properties of the cutting by improving the coolant performance. However, the effects of simultaneous implementation of UVAM and MQL methods has not yet been studied sufficiently. This paper investigates the effects of applying UVAM in tandem with MQL in cutting of Al6061-T6. The results showed that surface quality enhanced with this combination. © 2022 The Authors.
Citation - WoS: 14
Citation - Scopus: 15
Enhancing Machining Efficiency of Ti-6al Through Multi-Axial Ultrasonic Vibration-Assisted Machining and Hybrid Nanofluid Minimum Quantity Lubrication
(Elsevier Sci Ltd, 2024) Namlu, Ramazan Hakki; Lotfi, Bahram; Kilic, S. Engin; Mechanical Engineering; Department of Mechanical Engineering; Manufacturing Engineering
Ti-6Al-4V offers a balance of good strength with lightweight properties. Yet, Ti-6Al-4V poses machining challenges, including low thermal conductivity, chemical adhesion to cutting tools, and chip removal difficulties. To improve machining efficiency, Ultrasonic Vibration-Assisted Machining (UVAM) has emerged as a promising approach. UVAM has demonstrated reduced tool wear, cutting forces, and improved surface quality compared to Conventional Machining (CM). Additionally, Minimum Quantity Lubrication (MQL) methods offer sustainable coolant alternatives, with recent research focusing on Nanofluid-MQL (NMQL) and Hybrid Nanofluid-MQL (HNMQL) for enhanced performance. Although there exists a body of literature showcasing the promising effects of UVAM and MQL methods individually, comprehensive investigations into the synergistic effects of these methodologies remain limited. This study addresses these critical research gaps by conducting a systematic examination of combined application of multi-axial UVAM and HNMQL. Specifically, it delves into the comparison of different vibration directions within UVAM, evaluates the effectiveness of UVAM when combined with cutting fluids incorporating Al2O3 and CuO nanoparticles in NMQLs and HNMQLs, and contrasts these novel approaches with conventional machining methods. The study unfolds in three distinct stages. The first stage examines the ultrasonic cutting mechanism and its combined application with the MQL technique. In the second stage, the study investigates the physical properties of the cutting fluids, including contact angle and surface tension. The final stage encompasses slot milling operations, where an array of parameters such as cutting forces, surface roughness, surface topography, surface texture, and the occurrence of burr formations are rigorously analyzed. The results demonstrate that the combination of multi-axial UVAM with HNMQL yields substantial advantages over traditional machining methods. Notably, it leads to a remarkable reduction in cutting forces (up to 37.6 %) and surface roughness (up to 37.4 %). Additionally, this combination engenders the production of highly homogeneous and uniform surface textures, characterized by minimal surface defects and a significantly diminished occurrence of burr formations. These findings underscore the potential of multi-axial UVAM combined with HNMQL as a promising approach in enhancing the machining of Ti-6Al-4V, thus offering a pathway to enhance the efficiency and precision of aerospace component manufacturing processes.
Citation - WoS: 9
Citation - Scopus: 10
Predictive Models for Mechanical Properties of Expanded Polystyrene (eps) Geofoam Using Regression Analysis and Artificial Neural Networks
(Springer London Ltd, 2022) Akis, E.; Guven, G.; Lotfisadigh, B.; Manufacturing Engineering
Initial elastic modulus and compressive strength are the two most important engineering properties for modeling and design of EPS geofoams, which are extensively used in civil engineering applications such as light-fill material embankments, retaining structures, and slope stabilization. Estimating these properties based on geometric and physical parameters is of great importance. In this study, the compressive strength and modulus of elasticity values are obtained by performing 356 unconfined compression tests on EPS geofoam samples with different shapes (cubic or disc), dimensions, loading rates, and density values. Using these test results, the mechanical properties of the specimens are predicted by linear regression and artificial neural network (ANN) methods. Both methods predicted the initial modulus of elasticity (E-i), 1% strain (sigma(1)), 5% strain (sigma(5)), and 10% strain (sigma(10)) strength values on a satisfactory level with a coefficient of correlation (R-2) values of greater than 0.901. The only exception was in prediction of sigma(1) and E-i in disc-shaped samples by linear regression method where the R-2 value was around 0.558. The results obtained from linear regression and ANN approaches show that ANN slightly outperform linear regression prediction for E-i and sigma(1) properties. The outcomes of the two methods are also compared with results of relevant studies, and it is observed that the calculated values are consistent with the results from the literature.
Ultrasonik destekli frezeleme işlemi kullanarak kesilmesi zor malzemelerin işlenebilirliğini artırmaya yönelik deneysel bir araştırma
(2019) Namlu, Ramazan Hakkı; Lotfısadıgh, Bahram; Kılıç, Sadık Engin; Mechanical Engineering; Manufacturing Engineering
Ti-6Al-4V, yüksek mukavemet/ağırlık oranı, iyi korozyon direnci ve mükemmel kırılma tokluğu gibi eşsiz malzeme özelliklerine sahiptir. Bu nedenle, işlemenin önemli bir süreç olduğu havacılık, tıp ve otomotiv endüstrilerinde yaygın olarak. Bununla birlikte, Ti-6Al-4V'nin işlenmesi aşınma direnci ve düşük ısı iletkenliği nedeniyle oldukça zordur. Ultrasonik destekli işleme, talaşlı imalat uygulamalarında oldukça yeni bir methoddur ve azaltılmış kesme kuvvetleri, arttırılmış yüzey kalitesi ve azaltılmış takım aşınması gibi geleneksel işleme proseslerine göre sayısız avantaja sahiptir. Ek olarak, minimum miktar yağlama (MMY) işlem verimliliğindeki birçok iyileştirme nedeniyle, geleneksel soğutma sistemlerinin yerine kullanılan alternatif bir soğutma türüdür. Kesme kuvvetleri, bir işleme prosesinin kesme performansını ölçen en önemli çıktılardan biridir. İşleme için bir başka önemli çıktı, iş parçasının kalitesi üzerindeki doğrudan etkisi nedeniyle yüzey pürüzlülüğüdür Bununla birlikte, ultrasonik destekli işlemede kesme kuvvetleri ve yüzey pürüzlülüğündeki değişiklikleri minimum miktarda yağlama kullanımı ile karşılaştırmak için çok fazla çalışma yoktur.. Bu çalışmada, Ti-6AL-4V malzemesinin işlenmesi sırasında kesme kuvvetleri ve yüzey pürüzlülüğündeki değişiklikler, MMY kullanılarak Z ekseninde kesici takıma uygulanan ultrasonik titreşimler ile ultrasonik destekli frezeleme kullanılarak araştırılmıştır. Bunun literatürde ilk kez yapıldığı düşünülmektedir. Tezde yapılan deneysel çalışma, MMY soğutmalı ultrasonik destekli frezelemenin, kesme koşulları uygun şekilde seçilirse kesme kuvvetleri ve yüzey kalitesi açısından kesme performansını önemli ölçüde artırabildiğini göstermiştir.
Citation - WoS: 11
Citation - Scopus: 17
An Ontology-Based Multi-Agent Virtual Enterprise System (omave): Part 1: Domain Modelling and Rule Management
(Taylor & Francis Ltd, 2017) Sadigh, Bahram Lotfi; Unver, Hakki Ozgur; Nikghadam, Shahrzad; Dogdu, Erdogan; Ozbayoglu, A. Murat; Kilic, S. Engin; Manufacturing Engineering
New advancements in computers and information technologies have yielded novel ideas to create more effective virtual collaboration platforms for multiple enterprises. Virtual enterprise (VE) is a collaboration model between multiple independent business partners in a value chain and is particularly suited to small and medium-sized enterprises (SMEs). The most challenging problem in implementing VE systems is ineffcient and inFLexible data storage and management techniques for VE systems. In this research, an ontology-based multi-agent virtual enterprise (OMAVE) system is proposed to help SMEs shift from the classical trend of manufacturing part pieces to producing high-value-added, high-tech, innovative products. OMAVE targets improvement in the FLexibility of VE business processes in order to enhance integration with available enterprise resource planning (ERP) systems. The architecture of OMAVE supports the requisite FLexibility and enhances the reusability of the data and knowledge created in a VE system. In this article, a detailed description of system features along with the rule-based reasoning and decision support capabilities of OMAVE system are presented. To test and verify the functionality and operation of this system, a sample product was manufactured using OMAVE applications and tools with the contribution of three SMEs.