Subjects -> MANUFACTURING AND TECHNOLOGY (Total: 363 journals)
    - CERAMICS, GLASS AND POTTERY (31 journals)
    - MACHINERY (34 journals)
    - MANUFACTURING AND TECHNOLOGY (223 journals)
    - METROLOGY AND STANDARDIZATION (6 journals)
    - PACKAGING (19 journals)
    - PAINTS AND PROTECTIVE COATINGS (4 journals)
    - PLASTICS (42 journals)
    - RUBBER (4 journals)

PAINTS AND PROTECTIVE COATINGS (4 journals)

Showing 1 - 5 of 5 Journals sorted by number of followers
Journal of Industrial Textiles     Hybrid Journal   (Followers: 4)
Journal of Coatings Technology and Research     Hybrid Journal   (Followers: 3)
Color Research & Application     Hybrid Journal   (Followers: 2)
Pigment & Resin Technology     Hybrid Journal   (Followers: 2)
Sealing Technology     Full-text available via subscription   (Followers: 1)
Similar Journals
Journal Cover
Journal of Industrial Textiles
Journal Prestige (SJR): 0.377
Citation Impact (citeScore): 1
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1528-0837 - ISSN (Online) 1530-8057
Published by Sage Publications Homepage  [1176 journals]
  • High quality factor double negative metamaterial for textile fabric and
           fabric moisture sensing applications

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      Authors: Md. Bakey Billa, Mohammad Tariqul Islam, Touhidul Alam, Saleh Albadran, Ahmed Alzamil, Ahmed S. Alshammari, Haitham Alsaif, Md Shabiul Islam, Mohamed S. Soliman
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      This study introduces an innovative high-Quality factor (Q-factor) double negative (DNG) metamaterial sensor designed for textile fabric and fabric moisture sensing applications in the dynamic realm of textile innovation. The sensor is specifically designed to detect the dielectric properties and moisture content of different textile fabrics. The high Q-factor of this metamaterial structure ensures heightened sensitivity and accuracy in fabric sensing, facilitating precise detection of even subtle changes in fabric properties. By measuring frequency shifting and analyzing S21 values, the sensor provides crucial information about the fabric’s dielectric characteristics. Sensing experiments conducted on various fabrics, including cotton, denim, corduroy, organza, and polyester unveil distinctive patterns of frequency shifting and Q-factors, establishing a nuanced link between fabric structure and sensor performance. The proposed sensor is capable of detecting fabrics with a very low dielectric constant variation of 0.05. In the experiment, the high-dielectric fabric denim (1.7) exhibited frequency shifting and Q-factor of 6970 and 834.87, respectively. Moreover, it is worth noting that the low-dielectric fabric organza (1.03) exhibits frequency shifting and Q factors of 2190 and 1367.03, respectively. Experimental results affirm the prominent efficacy of the proposed sensor in fabric and fabric moisture sensing. Its high Q-factor empowers the sensor to accurately detect and monitor fabric properties, rendering it highly suitable for critical tasks such as quality control, energy efficiency optimization, and process enhancement within the textile industry. The proposed metamaterial sensor (MMS) can significantly contribute to the development of a smart textile sensing technology and pave the way for innovative applications in the textile industry.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-02-15T08:57:12Z
      DOI: 10.1177/15280837231225828
      Issue No: Vol. 54 (2024)
       
  • Enhanced antimicrobial performance of textiles coated with TiO2
           nanoparticles

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      Authors: Khaled F Salama, Reem AlJindan, Ahmed Alfadhel, Sultan Akhtar, Ebtesam A Al-Suhaimi
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      Modifying cotton fabrics to obtain significant new properties is of relevance to creating multifunctional textiles that could address challenges across different sectors. One of the critical challenges associated with textiles is hospital-acquired infections, which could be prevented through the utilization of antimicrobial fabrics. Titanium dioxide (TiO2) nanoparticles (NPs) have been introduced in literature for their photocatalytic antibacterial applications against prevalent microorganisms, such as Escherichia coli and Staphylococcus aureus. A newly developed coating process was utilized that includes chemical modification and nanocoating of cotton fabrics to achieve safe to use products that demonstrate durable and highly effective antibacterial properties. Thorough characterization was conducted to analyze the properties of the utilized materials and investigate the quality of the NPs coating on the cotton fabrics. Bacterial cultures and colony counts were performed using standard microbiological techniques. Bacterial studies revealed that the TiO2 NPs coated textile exhibited a significant antibacterial property with 99.99% bacteria growth reduction for S. aureus and E coli, in comparison to the control cotton fabrics. Coating durability analysis was also conducted by washing the coated fabrics using a standard protocol and repeating the qualitative and antibacterial characterization. The durability study revealed the outstanding performance of the coating technology to withstand at least 40x intensive washing cycles with>98% bacteria growth reduction for S. aureus and E coli. These results demonstrate the effectiveness and commercial suitability of the presented process to produce cotton textiles with outstanding antimicrobial properties that can reduce hospital-obtained infections.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-02-12T12:17:44Z
      DOI: 10.1177/15280837241233743
      Issue No: Vol. 54 (2024)
       
  • Discrete wavelet transform based processing of embroidered
           textile-electrode electromyography signal acquired with load and pressure
           effect

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      Authors: Bulcha Belay Etana, Ahmed Ali Dawud, Benny Malengier, Wojciech Sitek, Wendimu Fanta Gemechu, Janarthanan Krishnamoorthy, Lieva Van Langenhove
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      The diagnosis of neuromuscular diseases is complicated by overlapping symptoms from other conditions. Textile-based surface electromyography (sEMG) of skeletal muscles, offer promising potential in diagnosis, treatment, and rehabilitation of various neuromuscular disorders. However, it is important to consider the impact of load and pressure on EMG signals, as this can significantly affect the signal’s accuracy. This study seeks to investigate the influence of load and pressure on EMG signals and establish a processing framework for these signals in the diagnosis of neuromuscular diseases. The sEMG data were collected from healthy subjects using a textile electrode developed from polyester multi-filament conductive hybrid thread (CleverTex). The textrode was embroidered directly on an elastic bandage (Velcro® strap) placed on volunteer’s muscles while different activities were performed with varying loads and pressure. The collected data were pre-processed using standard techniques of the discrete wavelet transform to remove noise and artifacts. The performance of the proposed denoising algorithm was evaluated using the signal-to-noise ratio (SNR), percentage root mean square difference (PRD), and root mean square error (RMSE). Various signal processing approaches (filters) were considered and the results were compared with the proposed EMG noise reduction algorithms. Based on the experimental results, the fourth level of decomposition for the sym5 wavelets with the Rigrsure threshold method achieved the highest signal-to-noise ratio (SNR) values of 16.69 and 21.91, for soft and hard thresholding functions, respectively. The SNR values of 22.11, 21.54, and 2.78 at three different pressure levels 5 mmHg, 10 mmHg, and 20 mmHg, respectively, indicate the superior performance of wavelet multiresolution filter in de-noising applications. The results of this study suggest that our methodology is effective, precise, and reliable for analysing sEMG data and provide insights into both physiological and pathological neuromuscular conditions.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-02-09T01:54:43Z
      DOI: 10.1177/15280837241232449
      Issue No: Vol. 54 (2024)
       
  • Effects of air gap and compression on the dual performance of multilayer
           thermal protective clothing under low radiant heat

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      Authors: Ke Rui, Jiazhen He, Meiyan Xin, Zhongwei Chen, Jinping Guan
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      An air gap in thermal protective clothing (TPC) plays an important role in determining heat transfer, but it may also increase the amount of stored thermal energy that would discharge to the skin after exposure, especially when the TPC suffers compression. To investigate the effect of air gap and compression on the dual thermal protective performance (TPP), thermal hazardous performance (THP) and overall thermal protective performance (OTPP) of TPC, nine air gap configurations with different sizes and positions and five compression levels were designed in this study. Regression models were established to explore the relationships among air gap size, compression and THP for different air gap positions. The results demonstrate that increasing the air gap size without exceeding 12 mm not only significantly enhances the TPP by impeding heat transfer from the heat source to the fabric system during exposure but also decreases the THP by reducing heat discharge from the fabric system to the sensor even when compression is applied. Although an inner air gap contributes more to increasing the TPP during exposure than an outer air gap, it may also bring about severe stored energy discharge when compression is applied. It suggests that a larger air gap size should be divided into individually separate air gaps within different fabric layers to reduce the heat transfer during exposure as well as lower the stored thermal energy discharge after exposure.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-02-05T04:56:24Z
      DOI: 10.1177/15280837231221293
      Issue No: Vol. 54 (2024)
       
  • Investigation of carbon nanotube sheet for lunar dust shielding

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      Authors: Prakash Giri, Shaaban Abdallah, Woo Kyun Kim, Noe T. Alverez, Mark Schulz
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      Carbon nanotubes (CNT) sheet is a new type of nonwoven fabric that is being evaluated for different applications. This article presents the first friction-based investigation of the use of CNT sheet as a dust shield. The focus application is for shielding future machinery on the moon from lunar dust. Lunar dust is strongly abrasive; it adheres to all surfaces and causes wear. The absence of an atmosphere and water on the moon, along with its low gravity, and electrostatic adhesion exacerbates the issue of lunar dust, which affects all surfaces, including machinery and human apparel. Friction testing was performed to represent the effect of abrasion occurring on a garment surface while astronauts are working on the moon. The coefficients of static and sliding friction between two CNT sheets, held against each other by a weight, were 0.6 and 0.45, respectively. The presence of lunar regolith simulant reduced the friction coefficients between the two CNT sheets by 33% and 22% for static and sliding friction, respectively. The dust in the sheets was easily cleaned with dry wiping and compressed air, showing no requirement to use water for cleaning in space applications. However, the CNT sheets experienced wear after repeated friction tests. The CNT sheets passed the flammability test standards ASTM D6413/D6413M-15 and NPFA 1971 for applications under extreme heat conditions. Thus, CNT sheet can be considered as a multi-functional material for lunar applications, with shielding protection against dust and electromagnetic waves, and resistance to high temperatures.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-02-02T04:55:01Z
      DOI: 10.1177/15280837231224077
      Issue No: Vol. 54 (2024)
       
  • Polydopamine-mediated in situ synthesis of gold nanoparticles uniformly
           distributed on silk fibers as reusable catalysts for efficient
           4-nitrophenol reduction

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      Authors: Zhendong Zhang, Jing Xiao, Chunyou Wang, Fangmiao Song, Wei Sun, Chenhui Wang, Zhisong Lu, Yan Zhang
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      Developing green fibrous materials with uniformly distributed metal nanoparticles for highly efficient and recyclable catalysis remains a major challenge. Herein, we developed a simple, effective, and green method to immobilize gold nanoparticles (AuNPs) on polydopamine (PDA)-functionalized silk fibers (SFs) for efficient catalytic reduction of 4-nitrophenol (4-NP). The density and size of AuNPs on the PDA-coated SFs can be tuned by adjusting precursor concentration and synthesis duration, respectively. The AuNPs-PDA-SFs catalysts prepared under optimized conditions could catalyze the reduction of 4-NP, 4-nitroaniline (4-NA), and 4-amino-3-nitrophenol (4-A-3-NP) at the apparent rate constants of 0.087, 0.091, and 0.063 min−1, respectively. After six rounds of flow-through reduction of 4-NP, the AuNPs-PDA-SFs could maintain a 4-NP conversion rate greater than 92%, indicating their superior reusability and consistent catalytic activity. Due to the protein properties of SFs, the AuNPs-PDA-SFs can be degraded by enzymes and alkali solutions. This work may provide new insights for designing advanced fiber-supported recyclable catalysts with high catalytic performance and reusability in wastewater treatment.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-02-01T11:41:15Z
      DOI: 10.1177/15280837241227626
      Issue No: Vol. 54 (2024)
       
  • Novel reed development for width-variable fabrics on wide weaving machines

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      Authors: Dominik Nuss, Sennewald Cornelia, Cherif Chokri
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      Technical fabrics find extensive use as reinforcement in plastic components across various applications. Traditionally, these fabrics are produced using wide weaving machines with a constant fabric width and are then cut to achieve the desired component geometry, leading to significant waste generation. An effective approach to minimizing waste and conserving resources involves utilizing fabrics with outer contours that match the desired component geometry from the outset. Until now, the production of width-variable fabrics during the weaving process has not been achievable using wide weaving machines. Addressing this limitation, this paper introduces a novel reed design specifically developed for wide weaving machines. The paper presents the design concept of the new reed and elucidates the fabric development process associated with its implementation. Furthermore, the resulting fabric properties and physical relationships are demonstrated based on manufactured samples. By enabling the production of width-variable fabrics, this innovative approach aims to contribute to more sustainable manufacturing practices in the field of technical fabrics—reducing waste and optimizing resource utilization.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-01-30T05:51:51Z
      DOI: 10.1177/15280837231224460
      Issue No: Vol. 54 (2024)
       
  • Hydrodynamic control of silicone elastomers on between porous media

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      Authors: Zhengyuan Ma, Ruoyang Chen, Yixiao Qu, Yuan Kong, Kami Hu, Qin Zhou, Siye Xu, Ziyue Yan, Yunchu Yang, Hui He
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      Silicone elastomers, for example, polydimethylsiloxane (PDMS), have been widely used as cross-linkers for fabrication of flexible strain sensors. They not only lend strong adhesion to adjacent materials, for example, porous fabrics, but also tune their elastic property. Silicone elastomer precursors, which are typical non-Newtonian fluids, can easily penetrate into porous fabrics, driven by the capillary effects of fibers. Unfortunately, such a penetration has negative effects on both adhesion strength and elastic property of PDMS, thus limiting their applications. Here we report a facile method for preparing uniform silicone elastomer films, that is, PDMS, on between porous media via controlling the hydrodynamics of elastomer precursors. Our experiments show that the hydrodynamics of elastomer precursors can be easily controlled by modulating the pre-curing time of PDMS precursors to prevent them from penetration into porous media but keep their high adhesion. Based on this hydrodynamic modulation of PDMS precursors, we firmly adhere conductive silver nanowires (AgNWs) onto knitted fabrics, and further combine composites with common clothing from the point of view of ergonomics, showing the possibility of applying such a modulation to the fabrication of wearable strain sensors. Our findings not only present an understanding of liquid transport in porous media, but also provide a novel method of controlling the hydrodynamics of elastomer precursors in porous media for achieving the effective wearable sensors.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-01-25T05:46:10Z
      DOI: 10.1177/15280837241227246
      Issue No: Vol. 54 (2024)
       
  • Unraveling the effects of preform structures on the microstructure,
           electromagnetic shielding properties, and thermal conductivity of 3D
           orthogonal C/C composites

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      Authors: Yiming Zhang, Mingming Yu, Lin Fang, Liying Zhang, Wang Xie, Musu Ren, Pibo Ma, Jinliang Sun
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      To expand the application of C/C composites in the field of 5G satellite, this paper explores the influence of different preform structures on the mechanical properties, EMI shielding properties, and thermal conductivity of C/C composites. Three common 3D fabric preform structures with different weaving parameters are designed. The pore evolution process of different samples was analyzed by image recognition processing method and pore partition method. The findings indicate that the 3D Fine weave pierced structure leads to higher graphitization degree. 3D orthogonal woven structure results in a higher compression strength of up to 240 MPa. Furthermore, the molding method of 3D orthogonal woven structure exhibits superior EMI SE and thermal conductivity. The EMI shielding mode of C/C composites is the coexistence of absorption and reflection. And excellent texture and a high fiber volume fraction are beneficial to improve thermal conductivity. In conclusion, 3D orthogonal woven structure is more suitable for producing C/C composites with high strength, superior EMI shielding, and enhanced thermal conductivity compared to 3D Fine weave pierced structure. This study reveals a new control method of high-performance materials for 5G satellites.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-01-24T07:29:16Z
      DOI: 10.1177/15280837241230235
      Issue No: Vol. 54 (2024)
       
  • Analysis of the strength of joints in fabric/ unsaturated polyester
           composites

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      Authors: Magdi El Messiry, Shaimaa El-Tarfawy, Rania El Deeb
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      Fabric/unsaturated polyester composites have garnered significant attention due to their lightweight properties and superior mechanical characteristics. Despite these advantages, the strength of joints within these composites remains a crucial aspect requiring thorough investigation. This paper presents a study focused on comprehending the factors that influence joint strength in fabric/polymer composites, emphasizing the importance of effective load transfer and robust adhesion within the fabric/polymer matrix. The objective is to minimize stress concentration and enhance load distribution within the joint. The failure mechanism involves a combination of Bearing Failure and shear-out failure, particularly in single-fabric layer composites. The study establishes a linear relationship between composite bending stiffness and the enforcement fabric’s flexural rigidity. A comparison of tensile properties across various joining methods, such as bolts, adhesive bonding, and tongue grooves, reveals that bolt joints exhibit the highest strength and elongation, followed by tongue groove joints. Notably, bolt joints demonstrate elevated toughness, efficiency, and stiffness in samples of two-layer twill fabric when the twill lines are oriented perpendicular to each other. Under these conditions, joint properties are measured at 0.89%, 14804.65 Nm, and 20.46 J, respectively. Increased fabric flexural rigidity yields advantages in terms of load distribution, load transfer efficiency, and dimensional stability. This study deepens the understanding of factors influencing joint strength, contributing valuable insights for the development of optimized joint designs and manufacturing processes. These advancements aim to enhance the performance and reliability of fabric/unsaturated polyester composites in applications requiring high strength and structural integrity.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-01-18T07:01:21Z
      DOI: 10.1177/15280837241228268
      Issue No: Vol. 54 (2024)
       
  • Effects of microfibre parameters on the tensile properties of
           fabric-reinforced cementitious mortar

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      Authors: Cong-Thuat Dang, My Pham, N.H. Dinh
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      In recent years, Fabric-Reinforced Cementitious Mortar (FRCM) has gained widespread application for strengthening reinforced concrete and masonry structures. This research investigated the influence of microfibre parameters on the tensile characteristics of FRCM, focusing on the fibre type, length, and volume fraction. Three distinct types of microfibres were scrutinized: amorphous metallic (AM) fibres, polyvinyl alcohol (PVA) fibres, and nylon fibres. FRCM coupons were designed and fabricated based on the AC434 standard. A tensile experimental program, following RILEM TC232-TDT, revealed the pronounced advantage of employing AM fibres in the pre-cracking stage by significantly improving the crack stress up to 226% and pre-cracking stiffness of FRCM. Conversely, synthetic fibres such as nylon and PVA were beneficial in the post-cracking stage by enhancing cracked stiffness, peak stress, and tensile toughness. Additionally, it was found that using fibres with shorter lengths improved the tensile behavior of FRCM composites in the post-cracking stage due to better random distribution in the cement-based matrix. Finally, an artificial neural network (ANN) model was proposed to predict the tensile parameters of the FRCM composites incorporating microfibres.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-01-12T04:01:43Z
      DOI: 10.1177/15280837241227628
      Issue No: Vol. 54 (2024)
       
  • Enhancing the fire-resistance performance of composite laminates via
           multi-scale hybridisation: A review

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      Authors: Hussein Kommur Dalfi, Khayale Jan, Alaa Al-Badri, Mazhar Peerzada, Zeshan Yousaf, William Parnell, Neil Morrison, Klaudio Bari
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      Fibre-reinforced composites laminates (FRCLs) are employed in various applications such as in marine, aerospace, automotive, and civil industries due to their lightweight nature, design tailorability, and superior specific mechanical properties. However, they possess extremely low flame resistance mainly due to the inherent flammability of the polymer matrix. Various treatments have been applied to improve the fire resistance of FRCLs. In particular, hybridisation (fibre hybridisation and polymer hybridisation) is an important technique which is becoming very popular to enhance the thermal performance and flame resistance of FRCLs. This article is a comprehensive review of the recent developments that broadly cover the improvements in fire resistance of composite laminates via multi-scale hybridisation; the characteristics of thermal decomposition of FRCLs have been presented to comprehend the need for flame retardancy. Approaches for improving the fire resistance of FRCLs and thermal stability, both in polymer and in fibre systems, are discussed. Enhancing the fire resistance has been significant through additives to the matrix, use of flame-retardant modified fibres at interfacial regions and by way of multi-layered hybrid laminates besides hybridization at fibre, yarn and layer level. Finally, a review is presented on the modelling of fire resistance of composite laminates by considering thermo-mechanical models for the prediction of decomposition and failure of laminates at elevated temperatures.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-01-09T08:14:49Z
      DOI: 10.1177/15280837241226988
      Issue No: Vol. 54 (2024)
       
  • Investigation of flexible graphene hybrid knitted sensor for joint motion
           recognition based on convolutional neural network fusion long short-term
           memory network

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      Authors: Qin Yi Shao, Yilin Zhang, Jun Liu, Zhan Sun, Shijian Dong
      Abstract: Journal of Industrial Textiles, Volume 54, Issue , January-December 2024.
      Wearable electronics have attracted have attracted widespread attentions for their promising applications in motion monitoring and human-computer interaction. This paper proposes a flexible wearable joint movement intelligent sensing and recognition system to achieve stable and reliable motion feature extraction and recognition. Flexible graphene hybrid knitted sensor were prepared by transferring graphenes (GNs) agent onto stretchable knitted products via a simple spray-drying approach. The small dynamic movement of human joints for the prepared GNs hybrid sensing gloves, elbow pads and knee pads were converted into electrical signals for sensitive detection. The convolutional neural network fusion long short-term memory (CNN-LSTM) network with self-attention mechanism (SAM) is established for feature training and intelligent dynamic recognition of the measured joint information. The interconnected conductive networks endowed knitted sensor with good flexibility and remarkable electrical conductivity of 37 S/m. The unique conductive networks in the fabric offered excellent linearity and repeatable resistance response variation for better detection of joint motion. The resistant signal was analyzed by feature extraction, data correlation capture and time sequence relationship modeling. Finally, the test results show that the proposed CNN-LSTM with SAM network achieves 97%, 96% and 100% correct recognition rates for gesture signals, elbow and wrist signals and knee signals respectively, which is obviously higher than other recognition algorithms. It has great application prospects in the fields of smart wear, medical detection, and smart elderly care.
      Citation: Journal of Industrial Textiles
      PubDate: 2024-01-09T02:42:37Z
      DOI: 10.1177/15280837231225827
      Issue No: Vol. 54 (2024)
       
 
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  Subjects -> MANUFACTURING AND TECHNOLOGY (Total: 363 journals)
    - CERAMICS, GLASS AND POTTERY (31 journals)
    - MACHINERY (34 journals)
    - MANUFACTURING AND TECHNOLOGY (223 journals)
    - METROLOGY AND STANDARDIZATION (6 journals)
    - PACKAGING (19 journals)
    - PAINTS AND PROTECTIVE COATINGS (4 journals)
    - PLASTICS (42 journals)
    - RUBBER (4 journals)

PAINTS AND PROTECTIVE COATINGS (4 journals)

Showing 1 - 5 of 5 Journals sorted by number of followers
Journal of Industrial Textiles     Hybrid Journal   (Followers: 4)
Journal of Coatings Technology and Research     Hybrid Journal   (Followers: 3)
Color Research & Application     Hybrid Journal   (Followers: 2)
Pigment & Resin Technology     Hybrid Journal   (Followers: 2)
Sealing Technology     Full-text available via subscription   (Followers: 1)
Similar Journals
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HOME > Browse the 73 Subjects covered by JournalTOCs  
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JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 18.207.129.175
 
Home (Search)
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About JournalTOCs
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