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"Permasalahan Gougingdan Collisionsampai saat ini masih menjadi kendala terbesar dalam proses pemesinan 5-aksis, tidak terkecuali dalam pemodelan proses pemesinan 5-aksis yang menggunakan pahat toroid berbasis model faset. Gouging pada model faset dideteksi terjadi pada titik (vertex), sisi (edge) maupun muka (face) dari model faset. Metode yang dikembangkan dalam penelitian ini meliputi : metode penurunan persamaan matematika serta metode pemodelan yang berfungsi untuk verifikasi model matematika yang telah dihasilkan. Metode matematika digunakan untuk menurunkan persamaan inklinasi pahat minimal yang dapat digunakan untuk menghilangkan gouging. Untuk vertex gouging penurunan persamaan diturunkan berbasis geometri analitik, sedangkan edge gouging dan face gouging diturunkan berbasis numerik. Metode pemodelan dilakukan dengan bantuan MATLAB berfungsi untuk mensimulasi persamaan yang dihasilkan, sehingga terlihat persamaan yang tekah diturunkan benar adanya.

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Gouging and collision are the main problems in multiaxis machining. Gouging in faceted models detected in the vertex, edge, and face of the triangles. There are two methods to avoid gouging which are lifting tool and inclining too). In this research, the minimum inclination angle for avoid gouging must be found. The tool is inclined based on the types of gouging. In vertex gouging, the equation of inclination angle for avoid gouging based on analytical mathematic, but for edge and face gouging, the equation of the inclination angle for avoid gouging based on numerical methods. These types of gouging are described and the tool inclining procedure has been developed and implemented for gouging elimination."

"Real-time prediction of process quality is the key factor for guaranteeing product performance static modeling method could not consider the impact of noise variables on quality characteristics, which will easily lead quality problem for instability. This paper proposes a dynamic quality modeling and prediction approach for multivariable process using nonlinear dynamical analysis. The quality state model any time of process is regarded as an evolution product obtained from the adjacent previous moment. Dual extended Kalman filter algorithm is introduced to real-time adjust the quality prediction model, which refers to the weights and the centers in radial basis function network. So the dynamic adaptive neutral network is proposed to predict the following state of quality. Finally, a case about crack prediction of continuous casting slab is conducted to illustrate the feasibility of proposed approach, result shows that it could accurately crack the nonlinear dynamic continuous casting process."