A surrogate modelling strategy to improve the surface morphology quality of inkjet printing applications

Reyes-Luna, Juan Francisco; Chang, Sean; Tuck, Christopher; Ashcroft, Ian

doi:10.1016/j.jmapro.2023.01.078

Cited by 6 publications

(3 citation statements)

References 34 publications

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“…Selain itu, usulam kerangka pemodelan pengganti untuk meningkatkan morfologi jalur cetak inkjet yang dibuat oleh deposisi mikrotetesan berurutan pada substrat tidak berpori. [4] FE-YOLOv5 yang sederhana namun efektif digunakan untuk merancang feature enhancement module (FEM) yang digunakan menangkap tur yang lebih diskriminatif dari objek kecil serta spatially aware module (SAM) untuk menyaring informasi spasial dan meningkatkan ketahanan tur [5]. Kemudian dibangun juga metode deteksi objek secara otomatis untuk mengidentikasi pohon dan mengklasikasikannya berdasarkan kerusakan akibat salju menggunakan arsitektur YOLO CNN [6].…”

Section: Pendahuluanunclassified

Deteksi Cacat pada Sekrup Berbasis Citra Menggunakan YOLOv5

2024

jikstik

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Perusahaan pasti menginginkan produk yang dihasilkannya berkualitas baik. Kenyataannya kecacatan produk merupakan hal yang sulit dihindari. Kegiatan pengendalian kualitas diperlukan untuk mencegah produk cacat sampai kepada pelanggan. Pengendalian kualitas yang dilakukan manual membutuhkan waktu yang lama dengan tingkat subjektias serta resiko human error yang tinggi. Pemanfaatan teknologi dibutuhkan untuk membantu kegiatan pengendalian kualitas. Teknologi yang dapat dimanfaatkan untuk pengendalian kualitas adalah Articial Intelligence (AI) dengan metode deep learning menggunakan arsitektur YOLOv5. Tujuan penelitian ini adalah mengembangkan model yang dapat mendeteksi kualitas sekrup berbasis citra. Pengolahan data dilakukan dengan Roboow untuk proses preprocessing. Proses pembuatan model menggunakan Google Colab dengan bahasa pemrograman python. Hasil penelitian menunjukkan pelatihan mendapatkan waktu pelatihan sebesar 0.404 jam atau 24.24 menit, precision 0.842, recall 0.857, dan mean average precision 0.887. Uji coba yang dilakukan menghasilkan bahwa citra dapat terdeteksi dengan baik. Namun, terdapat beberapa citra yang kurang baik dan maksimal untuk dideteksi.

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Section: Pendahuluanunclassified

Deteksi Cacat pada Sekrup Berbasis Citra Menggunakan YOLOv5

2024

jikstik

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“…The successful IJP of personalized medicines requires careful optimization of several critical processing and printing parameters (Figure 3). [56,100,137,138] These parameters play a crucial role in determining the quality, accuracy, and reliability of the printed dosage forms. The following key parameters need to be optimized to ensure the efficient and precise delivery of personalized medicines using the IJP technology.…”

Section: Unlocking Precision: Optimizing Ijp Parameters For Personali...mentioning

confidence: 99%

Inkjet Printing of Pharmaceuticals

Carou‐Senra,

Rodríguez‐Pombo,

Awad

et al. 2023

Advanced Materials

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Inkjet printing (IJP) is an additive manufacturing process that selectively deposits ink materials, layer‐by‐layer, to create three‐dimensional (3D) objects or two‐dimensional (2D) patterns with precise control over their structure and composition. This technology has emerged as an attractive and versatile approach to address the ever‐evolving demands of personalized medicine in the healthcare industry. Although originally developed for non‐healthcare applications, IJP harnesses the potential of pharma‐inks, which are meticulously formulated inks containing drugs and pharmaceutical excipients. Delving into the formulation and components of pharma‐inks, the key to precise and adaptable material deposition enabled by IJP is unraveled. The review extends its focus to substrate materials, including paper, films, foams, lenses, and 3D‐printed materials, showcasing their diverse advantages, whilst exploring a wide spectrum of therapeutic applications. Additionally, the potential benefits of hardware and software improvements, along with artificial intelligence integration, are discussed to enhance IJP's precision and efficiency. Embracing these advancements, IJP holds immense potential to reshape traditional medicine manufacturing processes, ushering in the era of medical precision. However, further exploration and optimization are needed to fully utilize IJP's healthcare capabilities. As researchers push the boundaries of IJP, the vision of patient‐specific treatment is on the horizon of becoming a tangible reality.This article is protected by copyright. All rights reserved

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“…How to better control the quality of printing and constantly improve and perfect the quality of printing, but the printing industry has been continuously research and development work. In order to better get high-quality printing products, it is necessary to study the phenomenon of printing penetration so that the quality of the printing is the nature of the control [7][8].…”

Section: Introductionmentioning

confidence: 99%

Wavelet transform-based characterization of printing ink penetration depth and image phase dissimilarity

Liu,

Fan,

Shi

et al. 2023

Applied Mathematics and Nonlinear Sciences

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In this paper, continuous wavelet transform and discrete wavelet transform are used to detect transient anomalies entrained in normal information and to demonstrate their components. Multi-scale analysis of wavelet transform, Haar wavelet basis and multi-scale edge detection algorithms are utilized to determine the modal extreme points and identify the edge points for faster and more accurate extraction of edge features of the image. In order to further validate the applicability and feasibility of wavelet transform for printing images and to determine the quality inspection criteria based on ink penetration depth and image phase anisotropy, MATLAB software is utilized to perform simulation tests. The results show that the wavelet transform can remove the noise generated by uneven illumination and printing background during the printing process and can detect the edges of the printing image with an error accuracy of ±0.063mm and meet the error correction accuracy of <0.4mm as required by the printing standard. The experiments verify the feasibility of the wavelet transform, which can characterize the depth of penetration of the printing ink and the image anisotropy and provides a theoretical basis for improving the quality of printing. The experiment confirms that wavelet transform can be used to measure printing ink penetration depth and image anisotropy, giving a theoretical basis for improving printing quality.

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A surrogate modelling strategy to improve the surface morphology quality of inkjet printing applications

Cited by 6 publications

References 34 publications

Deteksi Cacat pada Sekrup Berbasis Citra Menggunakan YOLOv5

Deteksi Cacat pada Sekrup Berbasis Citra Menggunakan YOLOv5

Inkjet Printing of Pharmaceuticals

Wavelet transform-based characterization of printing ink penetration depth and image phase dissimilarity

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