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Nondestructive Impact and Acoustic Testing For Quality Assessment of Apples. by Itzhak Shmulevich, Naftali Galili and M. Scott Howarth A G E NG 2002 Budapest, Hungary June 30-July 4, 2002. The Department of Agricultural Engineering. Technion-Israel Institute of Technology.
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Nondestructive Impact and Acoustic Testing ForQuality Assessment of Apples by Itzhak Shmulevich, Naftali Galili and M. Scott Howarth AGENG 2002 Budapest, Hungary June 30-July 4, 2002
The Department of Agricultural Engineering Technion-Israel Institute of Technology
Presentation outline • Introduction - firmness quality nondestructive measurements; • Impact technique vs. acoustic technique; • Experimental report on various fruits; • Results; • Discussion; • Conclusions.
Quality Factors of Agricultural Products • Appearance - visual • Texture - feel • Flavor - taste and smell • Safety • Nutritive Value
Texture • Texture can be defined by subjective terms such as: Firmness Mealiness, Hardness, Softness, Brittleness, Ripeness, Toughness, Chewiness, Smoothness, Crispness, Oiliness, Springiness, Toughness, Fibrousness, or Juiciness etc.
Quality Sensing in Commercial Settings Requirements • Nondestructive • External and internal properties • Accuracy • Speed (5-15 fruits/sec) • Recognize inherent product variability
NONDESTRUCTIVE SENSOR TECHNOLOGY
NondestructiveFirmness Measurement Techniques • Fruit Response to Force • Detection by Impact Force • Forced Vibrations • Mechanical or Sonic Impulse • Ultrasonic Techniques • Indirect Firmness Measurement
Research Objective The motivation of the present work is to develop a fast nondestructive method for quality firmness testing of apples. The general objective of the research is to q firmness using low compare sensing the fruit mass impulse excitation to the acoustic response for quality assessment of apples.
Texture Acoustic vs. Impact
Relationship between turgor pressure and tissue rigidity E=3.6 p +2.5 x107 [ dynes/cm2] • Modulus of Elasticity
NondestructiveFirmness Measurement Impact Force Technique
Force [N] Time [msec] Quality Detection by Impact Force
IQ Firmness Sinclair International LTD IQ TM Firmness Tester
NondestructiveFirmness Measurement Acoustic Technique
Typical Acoustic Fruit Response Frequency Domain Time Domain
Microphone Based System for Acoustic Firmness Testing Source: J. De Baerdemaeker
Comparison Between Two Acoustic Test Methods Method-A: Microphone Method-B: Piezoelectric-Film Sensor Source: N. Galili & J. De Baerdemaeker
Acoustic Firmness SensorA F STM Source: AWETA
Fp td d N Tp sec Quality Detection by Impact Force Chen. P (1996), Farabee (1991) Delwiche (1989 ,1991), Nahir et al. (1986 )
Quality Detection by Impact Source: Shmulevich et. al. ( 2000 )
The Acoustic Parameters of a Fruit • Natural frequencies and firmness index - FI FI = f 2m 2/3{104 kg2/3 s-2} where: f - first spherical resonant frequency m - fruit’s mass. • Damping ratio - z • The centeroid of the frequency response - fc
Parameters extracted from the measurements Low-Mass Impulse parameters: C1 = Fp/Tp; C2 = Fp/Tp2 ;w (-20); and fc(in). IQ , IT Acoustic parameters: f1 ; FI ; and fc; Destructive parameters: E ; MT.
Method and Materials • Three apples cultivers; • Shelf life conditions: 20 0C 50%RH; • 25 fruits were tested daily both • nondestructively and destructively; • Destructive test - (MT, E’); • .
Typical Acoustic Fruit Response Frequency Domain Time Domain
Pearson linear correlation between the nondestructive and destructive tests, n=270 Golden Delicious -Apple,Correlation is significant at the 0.05 level
Starking Apples n=270
Pearson linear correlation between the nondestructive and destructive tests, n=270 Starking -Apple,Correlation is significant at the 0.05 level
Granny Smith n=270
Pearson linear correlation between the nondestructive and destructive tests, n=270 Granny Smith -Apple,Correlation is significant at the 0.05 level
Summary • The impact firmness parameter IQ and IT of • the calibration balls, obtained by the instrumented • hammer and the Sinclair sensor, were very close • (R-average = 0.992), while the Sinclair sensor • predicted slightly better the elastic modulus • of the balls (R = 0.9992).
Summary (Cont,) • The elastic modulus E’, which is the physical measurement of firmness, was predicted well by the IQ and IT impact parameters in Golden Delicious apples (R-average = 0.917). • The acoustic firmness index FI was equivalent to IQ in Golden Delicious, but improved the prediction of E’ in Starking and Granny Smith apples (R-average = 0.931).