Open Access
Issue
BIO Web Conf.
Volume 10, 2018
Contemporary Research Trends in Agricultural Engineering
Article Number 02036
Number of page(s) 5
Section Engineering and Technology
DOI https://doi.org/10.1051/bioconf/20181002036
Published online 26 March 2018

© The Authors, published by EDP Sciences, 2018

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).

1 Introduction

The shape of extruded products is of significant importance not only due to typically marketing aspects, but also from the technical perspective related to further processing thereof. Authors of numerous publications indicate that an evenly porous structure on the products may, for example, improve adhesion of various spices applied at further stages of the production process [1]. Properly selected shape and granulation of products used as toppings may also enable thorough covering of foods [2, 3]. Other shape parameters of products are needed for optimum selection of the grinder or classifier sieves on the production line of, for example, extruded edible coating crumbs [2, 4]. Therefore, the product shape is a parameter which may eventually influence efficiency of subsequent technological processes [5, 6]. Despite numerous advantages of the extrusion process, production of extruded products characterised with regular and repeatable shapes is not an easy process and is still the subject of many studies [7]. In fact, the final product shape depends on numerous parameters of the extrusion process, including composition and humidity of the mixture, process temperature, screw geometry and rotational speed or die nozzle geometry [8, 9, 10, 11]. If a cutter is used, setting of the knife rotational speed is also important. Thus, to ensure a regular shape of manufactured products, constant process monitoring is necessary, e.g. with the use of vision systems, and a quick response to extrusion process disruptions. Consequently, the application of quick vision techniques opens new possibilities of extrusion process control, involving simultaneous product quality control and provision of feedback allowing process adjustment and control.

The introduction of quick vision based analysis with the use of specialist software is, consequently, the subject of numerous studies related to the production process of not only extruded products, but also many other foods [12, 13, 14]. Not only do studies in this area cover investigations into the external shape of products, but also into the shape of pores making up the internal product structure. More detailed analyses include research into the internal 3D product structure [15, 16].

Thus, the objective of the study was to investigate into changes in selected shape parameters of the whole extruded products, which occur as a result of different extrusion process variables settings.

2 Materials and Methods

2.1 Materials and extrusion – cooking

The material used in the investigation was spelt flour and cornmeal (granulation: 0.16 – 0.60 mm). The products were purchased on the local market, Poland.

Mixture compositions were prepared using the above ingredients, with spelt flour as the main component at 70, 80, 90 and 100%. The mixtures were prepared in a ribbon mixer where the ingredients were additionally dampened to the moisture level of 14%. Before commencement of the extrusion process, moisture level control of the dampened material was performed with the use of a WPS 210 moisture balance with the accuracy of 0.001g (prod.: Radwag). Prepared as above, the material was thermally processed in an Evolum 25 twin screw extruder (prod.: CLEXTRAL, France) with the screw length to diameter ratio of L:D 27:1. The extruder matrix contained one round outlet opening with the diameter of 2.5 mm. In the tests, the plasticising section temperature was set at 120 and 140 oC. The distribution of temperatures in the extruder cylinder (from the plasticising section to the feeding section, respectively) was 120, 120, 110, 90, 80, 60 and 140, 120, 110, 90, 80, 60 oC. Extruder screw rotation was changed during the tests, at 300 and 350 Rpm. Material flow rate: 5.5 kg.h-1. The extruder head was equipped with a three-legged cutter, which enabled creation of products with the length of 7.5 mm ±0.5 mm. After cooling, extrudates were stored in plastic bags.

Table 1.

Characteristics of raw materials used in the experiment.

2.2 Extrudate properties

The subsequent stage of the investigation involved photographing of randomly selected whole extrudate samples. This was performed with the use of a light boxed fitted with Philips daylight fluorescent lamps with the colour temperature of D65 and a colour Basler A2500 – 14uc (5Mpx) camera (producer: Basler, Ahrensburg, Germany). Before the test, the samples were placed on black paper so that they did not touch each other’s edges. Particular photographs were taken in 5 repetitions (a single set consisted of 50 samples). Acquisition of the photographs was performed with the camera software (pylon Viewer). Subsequently, the photographs taken were subjected to a detailed 2D vision analysis with the use of Ni Vision Assistant 2015 (Producer: National Instruments, USA), with 4 identified fators characterising the features of extruded product shape: Area, Elongation Factor, Heywood Circularity Factor and Compactness Factor (Equations 1, 2, 3).

Elonggation Factor = FRFb(1) Compactness Factor = AW·H(2) Heywood Circularity Factor= P2πA(3)

Where:

A – Area

W - Bounding Rect Width

H - Bounding Rect Height

F - Max Feret Diameter

RFb - Equivalent Rect Short Side (Feret)

P – Perimeter

Calculation of particular factors was carried out pursuant to the methods outlined in the IMAQ Vision Concepts Manual 2005. Image analysis covered three levels of image transformation, which were used for analysing subsequent tested samples (Fig. 1). The figures obtained were subjected to Annova statistical analysis and correlation factors were identified, with the data presented in a box-plot. Data analysis was performed with the StatSoft, Inc. (2013), STATISTICA software.

thumbnail Fig. 1.

Tools and settings applied in the Ni Vision Assistant image analysis. Color Plane extraction (RBG Red Plane), Threshold (Manual Threshold Range – 52), FFT Filter (Truancation frequency - 15%, Mode - Low pass).

3 Results and discussion

Analysis of the investigation results led to an observation that the size and shape of extruded products changed along with changes in the share of spelt in the mixture and extrusion process parameters. Significant changes were observed in all analysed samples. In the case of Area analysis of photographed extrudate samples, it was stated that the Area of particular samples, fig. 2a and 2b, increased along with a decreasing share of spelt in the mixture (irrespective of changes in the temperature and rotation of the extruder screw). This can be justified as increase in the share of cornmeal in the mixture (typical structure building ingredient) contributes to growth in expansion parameters (e.g. radial expansion) of many extruded cereal ingredients, including wheat [10, 17]. Therefore, based on the analysis of a single factor – namely, the area of photographed products – one can state whether change in process parameters involves any change in external “visual” quality parameters of the extrudates

As variability in particular items is very high (correlation factor from 0.931 to 0.863 for different process settings), this may be at the same time a very sensitive quality indicator (table 2). Analysis of the area of photographed samples is, however, not a very precise parameter and, therefore, other factors defining the extrudate shape were included in subsequent tests.

Figures 3a and 3b illustrate changes in the extrudate Eongation Factor. It was determined that at extruder screw rotation speed of 300 Rpm, the Elongation Factor fell along with increase in the share of spelt in the mixture, whereas at extruder screw rotation speed of 350 Rpm, values of the factor increased. Thus, assuming that other process parameters will not be changed, increase in screw rotation speed itself allows obtaining a product characterised with different elongation degrees. It was moreover determined that the elongation factor changed as a result of temperature increase from 120 to 140 °C, yet the changes were not as intensive as in case of the other parameters. However, an opposite influence of temperature onto the elongation factor was found for samples produced at the screw rotation speed of 350 Rpm. The correlation factor for samples obtained at the screw rotation speed of 300 Rpm was high at -0.949 and -0.902, whereas at the screw rotation speed of 350 Rpm the correlations were 0.783 and 0.782. Elongation factor tests and other shape factors on food products were also performed [18]. The equivalent for the sample elongation visual tests is the extrudate lengthwise expansion factor. Investigations of this kind are commonly described in the literature and they cover changes in lengthwise expansion as a result changes in the mixture parameters, screw rotations, nozzle geometry, process temperature or mixture moisture [19, 20].

Figures 4a and 4b illustrate changes in the circularity factor for particular extruded products. In these investigations, the parameter defines the possibility to achieve a round shape of extruded products with the use of a round nozzle. It was determined that, along with an increasing share of spelt in the mixture, the circularity factor at the pre-set screw rotation speed of 300 Rpm was decreasing towards the value of 1 and, therefore, products with a higher share of spelt are more round. Significance of the changes is confirmed by the high correlation factor at -0.921 and -0.898, respectively. On the other hand, increase in the rotation speed to 350 Rpm has an opposite effect (increase in the value of this parameter along with growing share of spelt); thus, the product will have a less round shape (correlation factor of 0.876 and 0.709). It was also found that temperature change from 120 to 140°C (350 rpm) in the case of spelt share at 70 and 80% involves an increase in the circularity factor value. This phenomenon is also opposite as compared with the result of test performed at the rotation speed of 300 rpm and proves that, in this case, temperature change in combination with changes in rotation may also have significant impact onto the shape of extruded products. The circularity coefficient studies are common in extruded products research in both the food and pharmaceutical industries [21].

Figures 5a and 5b illustrate the results of compactness factor analyses. The investigations demonstrated clearly that change in the extruder screw rotation speed had clear influence onto that parameter, which is indicated by high differences in the course of charts for the rotation speeds of 300 Rpm (growing values) and 350 Rpm (falling values). In this case also, variability of results was characterised by high correlation factors at, respectively, 0.928 and 0.939. Another noticeable element was the influence of temperature which, at increased screw rotation speed, resulted in an increased value of the factor (Heywood circularity factor). Thus, also in this case, a change in the range of rotation speed and temperature dramatically changes the shape of extruded products.

The compactness factor defines the shape of product which allows best adaptation of particular extrudates to one another and, therefore, the higher the value of the factor, the higher number of similar products will fit within a given area. Determination of the value of this factor has a particular useful meaning, e.g. in case of application of such products as topping or semi-products in layered products.?

thumbnail Fig. 2.

Effect of spelt flour in extruded blend on the “Area” coefficient extrudates: a) extruder screw rotation 300 Rpm. b) extruder screw rotation 350 Rpm. Test F results and values (ANOVA) are presented for each temp. process.

Table 1.

Correlation coefficients for spelt share (70, 80, 90 and 100%) in the mixture according to various shape coefficients.

thumbnail Figure 3.

Effect of spelt flour in extruded blend on the Elongation Factor extrudates: a) extruder screw rotation 300 Rpm. b) extruder screw rotation 350 Rpm. Test F results and values (ANOVA) are presented for each temp. process.

thumbnail Figure 4.

Effect of spelt flour in extruded blend on the Heywood Circularity Factor extrudates: a) extruder screw rotation 300 Rpm. b) extruder screw rotation 350 Rpm. Test F results and values (ANOVA) are presented for each temp. process.

thumbnail Fig. 5.

Effect of spelt flour in extruded blend on the Compactness Factor extrudates: a) extruder screw rotation 300 Rpm. b) extruder screw rotation 350 Rpm. Test F results and values (ANOVA) are presented for each temp. process.

4 Conclusions

The extrusion process parameters which determine significant changes in the shape factors are mainly the mixture composition (spelt/corn) and the extruder screw rotational speed. It was determined that change in the screw rotational speed from 300 to 350 Rpm may have an opposite influence onto changes of extruded product shape factors. Thus, changing the screw rotational speed alone may involve a significant change of the extruded product shape, e.g. from round to elongated. Along with changes in the rotational speed of the screw, opposite influence of temperature onto the final product shape is observed. Vision analysis considering the sample area and elongation factor, Heywood circularity factor and compactness factor provides important information regarding the influence of changes in the extrusion process parameters onto shaping of extruded products.

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All Tables

Table 1.

Characteristics of raw materials used in the experiment.

Table 1.

Correlation coefficients for spelt share (70, 80, 90 and 100%) in the mixture according to various shape coefficients.

All Figures

thumbnail Fig. 1.

Tools and settings applied in the Ni Vision Assistant image analysis. Color Plane extraction (RBG Red Plane), Threshold (Manual Threshold Range – 52), FFT Filter (Truancation frequency - 15%, Mode - Low pass).

In the text
thumbnail Fig. 2.

Effect of spelt flour in extruded blend on the “Area” coefficient extrudates: a) extruder screw rotation 300 Rpm. b) extruder screw rotation 350 Rpm. Test F results and values (ANOVA) are presented for each temp. process.

In the text
thumbnail Figure 3.

Effect of spelt flour in extruded blend on the Elongation Factor extrudates: a) extruder screw rotation 300 Rpm. b) extruder screw rotation 350 Rpm. Test F results and values (ANOVA) are presented for each temp. process.

In the text
thumbnail Figure 4.

Effect of spelt flour in extruded blend on the Heywood Circularity Factor extrudates: a) extruder screw rotation 300 Rpm. b) extruder screw rotation 350 Rpm. Test F results and values (ANOVA) are presented for each temp. process.

In the text
thumbnail Fig. 5.

Effect of spelt flour in extruded blend on the Compactness Factor extrudates: a) extruder screw rotation 300 Rpm. b) extruder screw rotation 350 Rpm. Test F results and values (ANOVA) are presented for each temp. process.

In the text

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