Efek Variasi Massa Microcrystalline Cellulose Dan Layer Thickness Terhadap Performa Shape Memory Effect Pencetakan Soft Gripper Dengan Digital Light Processing

Rabbani, Hilmy Farras (2025) Efek Variasi Massa Microcrystalline Cellulose Dan Layer Thickness Terhadap Performa Shape Memory Effect Pencetakan Soft Gripper Dengan Digital Light Processing. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pencetakan 4D (4D Printing) adalah salah satu pengaplikasian pencetakan 3D yang dibuat dengan bahan berbasis polimer. Fabrikasi polymer dalam pencetakan 3D masih terus dikembangkan hingga ditemukannya smart material berjenis shape memory polymer (SMP). Namun, SMP masih menjadi hal yang terus diteliti karena memiliki keterbatasan pemilihan material yang photocurable agar dapat dicetak. Penelitian yang telah dilakukan menggunakan mesin Digital Light Processing (DLP) karena proses manufakturnya yang mudah, praktis, dan dapat mencetak sampai skala mikro. Kekurangan DLP adalah proses pemilihan bahan resin yang tidak kompatibel dengan filler nya. Salah satu peluang inovasi resin SMP untuk meningkatkan sifatnya shape memory effect (SME) adalah dengan dilakukannya penambahan material penguat. SMP terdiri dari soft segments dan hard segments yang berperan dalam proses SME itu. Termo-mekanis dilakukan dengan eksternal suhu dari luar menyebabkan diperlukannya layer thickness yang optimal agar laju temperatur pada saat pemanasan mengalir dengan cepat. Terdapat beberapa filler yang kompatibel dengan resin SMP namun yang sering digunakan adalah filler microcrystalline cellulose (MCC) karena sifatnya mudah berikatan ketika proses polimerisasi adesi. Salah satu jenis resin yang dipakai dalam pemrosesan pencetakan 4D printing adalah acrylate. Pada penelitian ini digunakan soft segments tert-Butyl Acrylate (tBA), hard segments Hexanediol Diacrylate (HDDA) dan filler MCC sebanyak 0%wt (0MCC), 0,5%wt (0.5MCC), 1%wt (1MCC), dan 2%wt (2MCC). Selain itu dipilih variasi layer thickness sebesar 0,05mm (0.05LT) dan 0.1mm (0.1LT). Dari hasil uji SME ditemukan bahwa performa SME pada variasi 2MCC-0.1LT lebih optimal dengan nilai shape fixity berturut – turut 89,4%, 87,2%, dan 84,4% serta nilai shape recovery optimal selama 3 siklus sebesar 100%. Berdasarkan hasil SEM persebaran MCC di dalam matrix tBA-HDDA meningkat secara signifikan seiring penambahannya namun interface pada MCC tidak sepenuhnya berikatan dengan baik pada matrix. Penambahan MCC juga dapat meningkatkan kestabilan termal.
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4D printing is one of the applications of 3D printing made with polymer-based materials. Polymer fabrication in 3D printing is still being developed until the discovery of shape memory polymer (SMP) smart materials. However, SMP is still something that continues to be researched because it has limitations in selecting photocurable materials that can be printed. Research that has been conducted uses Digital Light Processing (DLP) machines because the manufacturing process is easy, practical, and can print up to micro scale. The drawback of DLP is the process of selecting resin materials that are not compatible with the filler. One of the opportunities for SMP resin innovation to improve its shape memory effect (SME) properties is the addition of reinforcing materials. SMP consists of soft segments and hard segments that play a role in the SME process. Thermo-mechanised by external temperature from outside causes the need for optimal layer thickness so that the temperature rate during heating flows quickly. There are several fillers that are compatible with SMP resins but microcrystalline cellulose (MCC) is the most commonly used filler due to its easy bonding properties during the adhesion polymerisation process. One type of resin used in 4D printing processing is acrylate. In this study, soft segments tert-Butyl Acrylate (tBA), hard segments Hexanediol Diacrylate (HDDA) and MCC fillers of 0%wt (0MCC), 0.5%wt (0.5MCC), 1%wt (1MCC), and 2%wt (2MCC) were used. In addition, layer thickness variations of 0.05mm (0.05LT) and 0.1mm (0.1LT) were selected. From the SME test results, it was found that the SME performance in the 2MCC-0.1LT variation was more optimal with shape fixity values of 89.4%, 87.2%, and 84.4% respectively and the optimal shape recovery value for 3 cycles was 100%. Based on SEM results, the distribution of MCC in the tBA-HDDA matrix increased significantly with its addition, but the interface of MCC did not fully bind well to the matrix. The addition of MCC can also improve the thermal stability.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	4D Printing, Digital Light Processing, Layer Thickness, Microcrystalline cellulose, Shape Memory Effect
Subjects:	Q Science > QD Chemistry > Polymerization T Technology > TS Manufactures
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Material & Metallurgical Engineering > 28201-(S1) Undergraduate Thesis
Depositing User:	Hilmy Farras Rabbani
Date Deposited:	22 Jan 2025 07:40
Last Modified:	22 Jan 2025 07:40
URI:	http://repository.its.ac.id/id/eprint/116585

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