Parameter Optimization of Customized FDM 3D Printer Machine for Biocomposite Material [Sago/PMMA] Using 2k Fractional Factorial Design

Abstract

Bone fracture caused by various incident causes medical problems. Then bone restoration is required. Bone grafts can be used to solve this problem. One of the materials that can be used to produce bone graft is PMMA. PMMA requires to be combined with other materials to extend the solidification time. The material that can be used for bone graft material is sago starch. The main ingredient composition of Biocomposite [sago/PMMA] consists of sago: PMMA = 1 : 1 (w/w). The composition of the addition of MMA is 10% (v/w) of PMMA, this is to extend the curing time. Thus the material can be through from the chamber extruder to the nozzle. This research aims to obtain combinations of 3D Printer FDM Customized machine parameters for minimizing of error dimension. The 3D Printer machine uses pneumatic system to push the material from the container to the chamber and used screw extruder to push the material out through the nozzle. The experimental design method used a 2 k fractional factorial design, with 3 parameters, 2 levels and 3 responses. The experimental results obtained that the layer height parameter has a significant influence on the x-dimensional error. The optimization results obtained a combination of parameters to get the smallest error dimensions, the print speed is 25 mm/s, the layer height is 2.93 mm and the fill density is 20%. The results of optimization obtained that the x-dimensional error is 0.016, the ydimensional error is 0.069 and the z-dimensional error is 0.4539.

Optimasi Multi Parameter Mesin 3d Printer FDM Untuk Material Thermoplastic Polyurethane Guna Menghasilkan Error Dimensi Terkecil Menggunakan Metode 2k Factorial Design

“…Perkembangan teknologi manufaktur mengalami berbagai kemajuan, salah satunya adalah teknologi 3D printing atau disebut juga additive manufacturing [1]. Teknologi 3D Printing telah digunakan di berbagai bidang seperti industri manufaktur, kesehatan, pendidikan, dan sebagainya [2]. Penggunaan dalam industri manufaktur, 3D Printing digunakan sebagai sarana untuk membuat purwarupa (prototype).…”

“…Material TPU digunakan pada berbagai bidang, diantaranya pertambangan [6]. Akurasi hasil cetak Mesin 3D Printer menjadi salah satu aspek kualitas cetak [2]. Untuk mendapatkan hasil cetak yang optimal diperlukan analisis terhadap parameter untuk mendapatkan kombinasi yang menghasilkan hasil cetak yang optimal [2,[7][8][9].…”

Pengembangan Mesin 3d Printing Bangunan Untuk Material Sisa Reruntuhan Bangunan

“…Adapun salah satu permasalahan dalam implementasi Teknologi 3D Printer di bidang konstruksi bangunan adalah belum tersedianya material yang secara jelas dapat digunakan untuk material bangunan (concrete material), sehingga diperlukan kombinasi beberapa campuran material (Tay et al, 2017). Pada penelitian Rosid and Tontowi (Rosid & Tontowi, 2021) dilakukan modifikasi mesin 3D Printer FDM untuk material berupa pasta biokomposit, pada penelitian tersebut menggunkan pendekatan optimasi 2 k fractional factorial design.…”

Analysis of the influence of FDM parameters in the tensile strength response using machine learning

“…Tensile stress has been extensively studied by various authors, and is one of the most important properties of parts manufactured by 3D printing, whose application must withstand this type of stress to a great extent. These studies have been carried out using different statistical techniques such as factorial design [4,5,6,7,8,9], response surface methodology [10,11,12,13,14], Taguchi [15,16,17,18,19] and machine learning algorithms [20] [21].…”