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The purpose of this paper is to design and develop an instrument for non-destructive fabric grams per square metre (GSM) measurement. This study uses the capacitance principle to obtain the fabric GSM. The relative permittivity of the sample fabrics changes the capacitance value. A relationship between capacitance and GSM that best fits the look-up table is obtained. Also, the developed system is applicable for all kind of fabrics both knitted and woven fabrics. The comparison study was carried out with existing test method.

The purpose of the study is to design and develop an instrument for non-destructive fabric GSM measurement.

The proposed non-destructive method of fabric GSM measurement using capacitance principle is designed, developed and tested. Also, the developed system is applicable for all kind of fabrics both knitted and woven fabrics. The comparison study was carried out with existing test method.

The change in capacitance due to relative permittivity of the sample fabric is in pF range (10-12). The system can be further improved by using a capacitance sensor of sensitivity upto 1 fF (10-15). By doing so, the proposed system provides better results in terms of accuracy and resolution. The system developed can be further extended by making it online equipment which measures the fabric GSM instantaneously.

So far there is no non-destructive testing method available for fabric weight measurement. The newly designed and developed instrument is used to test the fabric both woven and knitted non-destructively.

The purpose of this paper is to analyze the moisture measurement techniques presently available, as accurate determination of the moisture content (MC) of grains or any food items at right time is very important for its processing, marketing and storing.

There are basically two types of MC measurement techniques – destructive method and non-destructive method. In the time-consuming destructive method, cleaning of the food items is done and shells of food items like peanuts are removed for which man power is required and so the technique becomes costly. A literature review of the existing non-destructive methods has been done, and the methodology of each approach is explained with the figure. The less time-consuming non-destructive technique used to measure MC require less man power, as grains or food items can be directly used without any process like cleaning or crushing so that the technique become economic.

Most of the techniques used magnetic or electric properties to measure the MC indirectly. The problem with existing non-destructive technique is that measurement of MC uses only few numbers or grams of grains or food items at a time.

The farmers’ produce large quantity of grains. The small quantity of grains cannot be the representative sample for whole grains produced by the farmers. Most of the techniques use only small quantity of grains or food items at a time to measure the MC which is not accurate and representative of the produce. Also, the techniques are not simple and easily available. The cost of the techniques or arrangement to measure the MC is not reasonable.

Most of the farmers in the developing countries are financially backward. To store the agricultural produce, MC of the commodities is a key factor influencing the quality of the storage. Measurement of the MC of the seeds is thus very important for the farmers.

This paper is a review of the previous research that happened in this area, and it would help the researcher to know the techniques already been used. To the knowledge of the authors, the review of the existing moisture measurement of seeds/agricultural commodities is available in the literature.

Considerable headway is being made in the acceptance of non‐destructive testing methods for refinery construction and maintenance. If properly used, these techniques constitute a valuable tool for determining the quality of workmanship (in acceptance tests of refinery equipment) and the survival outlook of installed equipment which may be exposed to mechanical wear, erosion or corrosion. They find further application in locating obstructions which may form in pipelines or other equipment.

This paper aims to present a new non‐destructive method of brick wall dampness testing in real building structures. The electrical impedance tomography (EIT) method makes it possible to obtain a distribution of wall dampness. The paper aims to give basic information about the measuring system, including prototype equipment. The setup was used to determine the dampness of test brick walls on a specially built laboratory test rig. The paper seeks to compare test results obtained by the non‐destructive impedance tomography method with the results obtained by the conventional destructive dry‐weight method.

The paper adopts a tomography approach to control humidity inside of the brick walls. In case of brick walls other nondestructive methods fields, for example, the ultrasonic tomography is useless. On the other hand the most popular dry‐weight method is strictly forbidden for historical buildings. As a forward solver, functionally graded material boundary element method was used.

The paper proves that diffuse tomography could provide reliable results with respect of humidity content inside the brick walls. This method could provide 3D humidity distribution inside of the brick walls.

It is expected that the technique's impact will be limited to site inspection of building following floods or to evaluate older damp buildings.

The presented technique can eventually lead to much simpler, cheaper and more efficient evaluation of the moisture content in walls. This can revolutionize some procedures in civil engineering.

The application has commercial potential and could result in more cost‐effective repair of old buildings, which has an economic impact on society.

The authors propose application of the diffuse tomography for nondestructive investigation of brick walls. According to the authors' best knowledge this is a novel approach.

This paper aims to present a methodology for the detection and categorisation of metal powder particles that are partially attached to additively manufactured lattice structures. It proposes a software algorithm to process micro computed tomography (µCT) image data, thereby providing a systematic and formal basis for the design and certification of powder bed fusion lattice structures, as is required for the certification of medical implants.

This paper details the design and development of a software algorithm for the analysis of µCT image data. The algorithm was designed to allow statistical probability of results based on key independent variables. Three data sets with a single unique parameter were input through the algorithm to allow for characterisation and analysis of like data sets.

This paper demonstrates the application of the proposed algorithm with three data sets, presenting a detailed visual rendering derived from the input image data, with the partially attached particles highlighted. Histograms for various geometric attributes are output, and a continuous trend between the three different data sets is highlighted based on the single unique parameter.

This paper presents a novel methodology for non-destructive algorithmic detection and categorisation of partially attached metal powder particles, of which no formal methods exist. This material is available to download as a part of a provided GitHub repository.

Introduction Zinc weight per unit area is a crucial factor in the durability of galvanised parts with respect to corrosion and may be correlated with the thickness of the galvanised coating by means of the latter's density. Thus, the thicker the coating, the longer the part is bound to last.

The intelligent acoustic emission (AE) locator is described in Part I while Part II discusses a blind source separation, time delay estimation and location of two simultaneously active continuous AE sources. Location of AE on complicated aircraft frame structures is a difficult problem of non‐destructive testing. In this article an intelligent AE source locator is described. The intelligent locator is comprised of a sensor antenna and a general regression neural network, that solves the location problem based on learning from examples. The locator performance was tested on different test specimens. The tests have shown that accuracy of location depends on sound velocity and attenuation in the specimen, the dimensions of tested area, and properties of stored data. The location accuracy achieved by the intelligent locator is comparable to that obtained by the conventional triangulation method. This is a promising method for non‐destructive testing by AE method of aircraft frame structures.

Micro-focus X-ray computed tomography (CT) can be used to quantitatively evaluate the packing density, pore connectivity and provide the basis for specimen derived simulations of gas permeability of sand mould. This non-destructive experiment or following simulations can be done on any section of any size sand mould just before casting to validate the required properties. This paper aims to describe the challenges of this method and use it to simulate the gas permeability of 3D printed sand moulds for a range of controlling parameters. The permeability simulations are compared against experimental results using traditional measurement techniques. It suggests that a minimum volume of only 700 × 700 × 700 µm³ is required to obtain, a reliable and most representative than the value obtained by the traditional measurement technique, the simulated permeability of a specimen.

X-ray tomography images were used to reconstruct 3D models to simulate them for gas permeability of the 3D printed sand mould specimens, and the results were compared with the experimental result of the same.

The influence of printing parameters, especially the re-coater speed, on the pore connectivity of the 3D printed sand mould and related permeability has been identified. Characterisation of these sand moulds using X-ray CT and its suitability, compared to the traditional means, are also studied. While density and 3PB strength are a measure of the quality of the moulds, the pore connectivity from the tomographic images precisely relates to the permeability. The main conclusions of the present study are provided below. A minimum required sample size of 700 × 700 × 700 µm³ is required to provide representative permeability results. This was obtained from sand specimens with an average sand grain size of 140 µm, using the tomographic volume images to define a 3D mesh to run permeability calculations. Z-direction permeability is always lower than that in the X-/Y-directions due to the lower values of X-(120/140 µm) and Y-(101.6 µm) resolutions of the furan droplets. The anisotropic permeability of the 3D printed sand mould is mainly due to, the only adjustable, X-directional resolution of the furan droplets; the Y-directional resolution is a fixed distance, 102.6 µm, between the printhead nozzles and the Z-directional one is usually, 280 µm, twice the size of an average sand grain.A non-destructive and most representative permeability value can be obtained, using the computer simulation, on the reconstructed 3D X-ray tomography images obtained on a specific location of a 3D printed sand mould. This saves time and effort on printing a separate specimen for the traditional test which may not be the most representative to the printed mould.

The experimental result is compared with the computer simulated results.

Magnetic particle flaw detection is one of the longest established and most commonly used methods of non‐destructive testing. It can often be applied in a relatively quick and simple manner. Because of this, it is frequently treated as the “poor relation” in present day non‐destructive test methods and regarded as a method which can be performed by unskilled labour. While this may sometimes be true in semi‐automatic production line testing there are many applications which require considerable knowledge and experience. The use of magnetic particle flaw detection has increased considerably in the past few years. It is now being recognised as essential to supplement visual examination in many areas of in‐service inspection on all types of plant. This article, to be published in four parts, is directed towards maintenance engineers and inspectors who may wish to use the method themselves or would like to have the basic knowledge to ensure that any such tests requested and performed on their behalf, are carried out correctly.

This research paper adopts the fundamental tenets of advanced technologies in industry 4.0 to monitor the structural health of concrete beam members using cost-effective non-destructive technologies. In so doing, the work illustrates how a coalescence of low-cost digital technologies can seamlessly integrate to solve practical construction problems.

A mixed philosophies epistemological design is adopted to implement the empirical quantitative analysis of “real-time” data collected via sensor-based technologies streamed through a Raspberry Pi and uploaded onto a cloud-based system. Data was analysed using a hybrid approach that combined both vibration-characteristic-based method and linear variable differential transducers (LVDT).

The research utilises a novel digital research approach for accurately detecting and recording the localisation of structural cracks in concrete beams. This non-destructive low-cost approach was shown to perform with a high degree of accuracy and precision, as verified by the LVDT measurements. This research is testament to the fact that as technological advancements progress at an exponential rate, the cost of implementation continues to reduce to produce higher-accuracy “mass-market” solutions for industry practitioners.

Accurate structural health monitoring of concrete structures necessitates expensive equipment, complex signal processing and skilled operator. The concrete industry is in dire need of a simple but reliable technique that can reduce the testing time, cost and complexity of maintenance of structures. This was the first experiment of its kind that seeks to develop an unconventional approach to solve the maintenance problem associated with concrete structures. This study merges industry 4.0 digital technologies with a novel low-cost and automated hybrid analysis for real-time structural health monitoring of concrete beams by fusing several multidisciplinary approaches into one integral technological configuration.