Millerin sementasyon işleminin deney tasarımı kullanılarak incelenmesi

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2017

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Manufacturing Engineering
(2003)
Opened in 2003 with the aim to graduate experts in the field of machine-production, our Department is among the firsts in our country to offer education in English. The Manufacturing Engineering program focuses on the manufacturing technologies that shape materials from raw materials to final products by means of analytical, experimental and numerical modeling methods. First Manufacturing Engineering Program to be engineered by Müdek, our department aims to graduate creative and innovative Manufacturing Engineers that are knowledgeable in the current technology, and are able to use production resources in an effective and sustainable way that never disregards environmental facts. As the first Department to implement the Cooperative Education Program at Atılım University in coordination with institutions from the industry, the Manufacturing Engineering offers a practice-oriented approach in education with its laboratory infrastructure and research opportunities. The curriculum at our department is supported by current engineering software, and catered to creating engineers equipped to meet the needs of the production industry.

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Sementasyon işlemi, mil imalatında yaygın olarak termokimyasal bir ısıl işlemdir. Sementasyon sonrası yetersiz sertlik derinliği, uygunsuz yüzey ve çekirdek sertliği ve çarpılma yaygın hurda ürün sebepleridir. Bundan sebeple, sementasyon sırasında süreç parametrelerinin etkilerinin anlaşılması, kontrolü ve optimizasyonu kayıpların önlenmesi için hayati önem taşımaktadır. Bu çalışmada semenyastasyon parametreleri Taguchi yöntemiyle Deney Tasarımı (DoE) aracılığıyla incelenmiş ve iyileştirilmiştir. İyileştirmenin temel hedefi imalatta değişik fırınların kullanılmasından kaynaklı değişkenliğin azaltılmasıdır. Deneyler iki değişik endüstriyel gaz sementasyon fırınında, iki değişik çelikten (16MnCr5,20NiCrMo2-2) tornalarak üretilmiş düz ve basamaklı millerde gerçekleştirilmiştir. Sementasyon deneylerinden sonar, millerin boyutları Koordinat Ölçüm Makinesi (CMM) ile ölçülürken, karbon ve sertlik dağılımları Optik Yayınım Spektrometresi (OES) ve Vickers sertlik ölçümleriyle belirlenmiştir. Sonuçlar sementasyon gazının karbon potansiyelinin sertlik derinliğindeki ve değişikliğindeki gerek değişkenliği gerek ortalama değeri en çok etkileyen parametre olduğunu göstermektedir. Anahtar Kelimeler: Mil, Sementasyon, Taguchi Yöntemi, Optimizasyon
Carburizing is a widely-used thermochemical heat treatment process in shaft manufacturing. Insufficient case-depth, inadequate surface/core hardness, and distortion are the common reasons for scrapped products after carburizing. Thus, understanding, control and optimization of the process parameters in carburizing is crucial to avoid losses. In this study, carburizing parameters were investigated and optimized by Design of Experiments (DoE) using the Taguchi method. The target of the optimization is the minimization of the variability in the production due to the use of different furnaces for the process. Experiments were carried out on as-turned shafts (plain and stepped) made of two different grades of steel (16MnCr5 and 20NiCrMo2-2) using two different industrial gas carburizing furnaces. After the carburizing experiments, dimensional changes were measured using a Coordinate Measurement Machine (CMM), while carbon and hardness profiles were determined using Optical Emission Spectroscopy (OES) and Vickers indentation techniques. The results indicated that carbon potential of the carburizing gas is the most important parameter associated both with the variability and the mean effect for the case-depth and the diameter change. Keywords: Shaft, Carburizing, Taguchi Method, Optimization

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Metalurji Mühendisliği, Mühendislik Bilimleri, Deney tasarımı, Sementasyon, Metallurgical Engineering, Engineering Sciences, Su verme, Experimental design, Cementation, Süreç optimizasyonu, Quenching, Taguchi deneyleri, Process optimization, Taguchi experiments, Taguchi yöntemi, Taguchi method

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0

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128