To know the impact of processing parameters of PA6G under different humidity conditions is important as it is vulnerable to humidity up to 7 %. This study investigated the effect of cutting parameters to surface roughness quality in wet and dry conditions. Artificial Neural Network (ANN) modeling is also developed with the obtained results from the experiments. Humidity condition, tool type, cutting speed, cutting rate, and depth of cutting parameters were used as input and average surface roughness value were used as output of the ANN model. Testing results showed that ANN can be used for prediction of average surface roughness.
We compared the foundry PA6G samples in several dry and humid but different storage environments by processing them under the same cutting conditions such as progress rate (100, 120, 140, and 160 mm/min), cutting rate (90, 110, and 130 m/min), and cutting depth (1, 1.5, 2, 2.5, and 3 mm), in terms of formation of average surface roughness values. An improvement of 10.4% in average surface roughness was observed in the measurements performed after the milling process on the humid material and then the process was carried out under a dry condition. Degradation of about 14% in the average surface roughness was observed. The measurement was carried out after the samples were used in milling measurement which was performed on the dry PA6G material that was kept in a humid environment. An improvement of 6.4% in average surface roughness was observed. The measurements were performed after CNC machines process was applied on humid and dried PA6G material. This difference between milling and turning procedures is caused by the workpiece losing its humidity in the turning machine due to the turning effect. It was noted that the processes performed on the CNC turning stand were less affected by the humidity factor.
Öz: Mekanik sistemlerin optimum tasarımı konusu, Mühendislik ve Teknik Eğitimde önemli bir yer tutmaktadır. Tasarım işlemi, soyut ve sistem değişkeni fazla olması nedeniyle öğrenciler tarafından algılanması zordur. Bu çalışmada, mekanik sistemlerin tasarım eğitimi için geliştirilmiş kavramsal tasarım modelinin yapısı anlatılmıştır. Tasarım modeline ait görsel bir program hazırlanarak, en karmaşık mekanik sistemlerden olan takım tezgâhlarının tasarımına uygulanmıştır. Tasarım eğitim programıyla, şartname aşamasında fonksiyon temsilleriyle problemin tüm ve alt fonksiyon yapılarının tarifi yapılmıştır. Programın tasarım uzmanı kişiler tarafından oluşturulmuş bilgi tabanı sayesinde, kullanıcı uygulamalı eğitim sırasında yönlendirilebilmektedir. Bilgi tabanı gerektiğinde yetkili kişiler tarafından güncellenebilir ve diğer bilgisayarlara dağıtılabilir yapıdadır. Geliştirilen tasarım modeli ve uygulama programı sayesinde, mekanik sistemlerin tasarım eğitimi için gerekli eğitim süresi azaltılır, daha etkili eğitim ortamı sağlanır ve geliştirilebilir bilgi tabanıyla mühendislik eğitimine yardımcı olmaktadır.
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