scholarly journals Design and Performance Test of the Coffee Bean Classifier

2021 ◽  
Author(s):  
Ansar Ansar ◽  
Sukmawaty Sukmawaty ◽  
Murad Murad ◽  
Surya Abdul Muttalib ◽  
Riyan Hadi Putra ◽  
...  
Keyword(s):  
Performance Test ◽  
Work Capacity ◽  
Operating Conditions ◽  
Coffee Bean ◽  
Working Capacity ◽  
Rotating Speed ◽  
Coffee Beans ◽  
Long Time ◽  
Effectiveness And Efficiency ◽  
And Performance

Nowadays, some coffee production centers are still classification manually, so it requires a very long time, a lot of labor, and expensive operational costs. Therefore, the purpose of this research was to design and performance of the coffee bean classifier that can accelerate the process of classification beans. The classifier used consists of three main parts, namely the frame, driving force, and sieves. Research parameters include classifier work capacity, power, specific energy, classification distribution and effectiveness, and efficiency. The results showed that the best operating conditions of the coffee bean classifier was found at a rotational speed of 91.07 rpm and a 16° sieves angle with a classifier working capacity of 38.27 kg/h, the distribution of the seeds retained in the first sieve was 56.77 %, the second sieves was 28.12%, and the third sieves was 15.11%. The efficiency of using a classifier was found at a rotating speed of 91.07 rpm and a sieves angle of 16°. This classifier was simple in design, easy to operate, and can sort coffee beans into three classification, namely small, medium, and large.

scholarly journals Design and Performance Test of the Coffee Bean Classifier

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1462
Author(s):  
Ansar ◽  
Sukmawaty ◽  
Murad ◽  
Surya Abdul Muttalib ◽  
Riyan Hadi Putra ◽  
...  
Keyword(s):  
Performance Test ◽  
Work Capacity ◽  
Operating Conditions ◽  
Coffee Bean ◽  
Working Capacity ◽  
Rotating Speed ◽  
Coffee Beans ◽  
Long Time ◽  
Effectiveness And Efficiency ◽  
And Performance

Currently, some coffee production centers still perform classification manually, which requires a very long time, a lot of labor, and expensive operational costs. Therefore, the purpose of this research was to design and test the performance of a coffee bean classifier that can accelerate the process of classifying beans. The classifier used consisted of three main parts, namely the frame, the driving force, and sieves. The research parameters included classifier work capacity, power, specific energy, classification distribution and effectiveness, and efficiency. The results showed that the best operating conditions of the coffee bean classifier was a rotational speed of 91.07 rpm and a 16° sieve angle with a classifier working capacity of 38.27 kg/h: the distribution of the seeds retained in the first sieve was 56.77%, the second sieve was 28.12%, and the third sieve was 15.11%. The efficiency of using a classifier was found at a rotating speed of 91.07 rpm and a sieve angle of 16°. This classifier was simple in design, easy to operate, and can sort coffee beans into three classifications, namely small, medium, and large.

scholarly journals Rancang Bangun Alat Pemipih Emping Melinjo (Gnetum gnemon) Tipe Mekanis

2021 ◽  
Vol 14 (1) ◽  
pp. 38-50
Author(s):  
Muhammad Dhafir ◽  
Zulfahrizal Zulfahrizal ◽  
Rahmat Fadhil ◽  
Safrizal Safrizal ◽  
Mutiawati Mutiawati
Keyword(s):  
Electric Motor ◽  
Performance Test ◽  
Yield Loss ◽  
Power Source ◽  
Working Capacity ◽  
Manual Method ◽  
Human Energy ◽  
Long Time ◽  
Gnetum Gnemon ◽  
And Performance

Abstrak. Pengolahan biji melinjo menjadi emping melinjo saat ini sebagian besar masih menggunakan cara tradisional (manual) yaitu dengan memukul-mukul biji melinjo menggunakan palu yang sebelumnya sudah disangrai dengan pasir. Teknik ini dirasakan tidak efektif karena memerlukan waktu yang cukup lama dan tenaga manusia yang besar. Untuk mengatasi masalah tersebut perlu dibuat suatu mesin untuk memudahkan dalam pemipihan biji melinjo. Penelitian ini bertujuan untuk desain mesin pemipih emping melinjo dengan sumber tenaga motor listrik,  menguji fungsional dan kinerja mesin serta membandingkannya dengan  metode tradisional. Parameter yang diamati meliputi kapasitas kerja mesin serta persentase kehilangan hasil. Hasil penelitian diperoleh bahwa mesin pemipih emping melinjo tipe tumbukan mempunyai ukuran panjang 820 mm, lebar 520 mm dan tinggi 1010 mm, digerakkan dengan motor listrik dengan daya 1.5 hp 1450 rpm. Hasil pengujian mesin didapatkan kapasitas pemipihan 0.83 kg/jam sedangkan kapasitas secara manual 0.16 kg/jam. Persentase kehilangan hasil dari pemakaian mesin pemipih emping ini adalah 1.5 %  sedangkan dengan cara manual adanya kehilangan hasil yaitu sebesar 7 %.  Design and Performance Test Of Flatter Machines  Impact Type for Melinjo (Gnetum gnemon)Abstract. Flatteting of melinjo seeds into melinjo chips at this time most still use the manual method by beating the seeds of melinjo using a hammer that was previously roasted with sand. This technique is felt to be ineffective because it requires a long time and a large amount of human energy. To overcome these problems, a solution is needed to facilitate flattening the seeds of melinjo. This study aims to design melinjo chips flattening machine with an electric motor as a power source, to test the functionality and performance of the machine, and to compare it with traditional methods. The parameters observed include the machine's working capacity and the percentage of yield loss. The results showed that this flatter machines impact type for melinjo has a length of 820 mm, the width of 520 mm, and a height of 1010 mm, driven by an electric motor with a power of 1.5 HP with a rotation of 1450 rpm. The results of testing the device obtained a flaking capacity of 0.83 kg/hour while the capacity manually was 0.16 kg/hour. The percentage of loss of results from the use of this emping flask is 1.5% while by manual the loss of results is equal to 7%.

scholarly journals DEVELOPMENT AND EVALUATION OF DRUM COFFEE ROASTING MACHINE FOR SMALL-SCALE ENTERPRISES

2020 ◽  
Vol 60 (1) ◽  
pp. 79-88
Author(s):  
Dadang Dayat Hidayat ◽  
Arie Sudaryanto ◽  
Yose Rizal Kurniawan ◽  
Ashri Indriati ◽  
Diang Sagita
Keyword(s):  
Development Time ◽  
Performance Test ◽  
Development Stage ◽  
Small Scale ◽  
Coffee Bean ◽  
Green Coffee ◽  
Roasting Machine ◽  
Average Crack ◽  
And Performance ◽  
Coffee Roasting

The design, manufacture and evaluation of a drum coffee roasting machine had been carried out. The aimed of the study was to develop a small-scale drum roaster to meet the demand of the small enterprises at design and function. The development stage consisted of sizing of the main components, creating technical drawings, determination of component materials, manufacture and performance test. The dimension of the roaster drum was 168.28 mm in diameter and 250 mm in length; the capacity of the roaster was 750 gram/ batch. Results of the test determined that the coffee roasting machine had worked well as expected. The preheating time was 15-22 minutes at a drum speed of 67.5 rpm. The initial loading temperature was 180°C. The test using arabica coffee bean reveals that the average crack time was 8.78 minutes, development time was 2.35 minutes, decreasing mass and increasing volume ranged from 19.80 – 20.30 % and 49.97 – 54.85 % respectively. The average crack time of Robusta coffee bean was 10 minutes; development time was 3 minutes, decreasing mass and increasing volume ranged from 10.87 – 14.90 % and 44.93 – 56.20 %, respectively. The required time to roast Arabica green coffee bean to the light-medium and medium-dark level was 11.3 and 12.38 minutes respectively, besides for Robusta green coffee beans was 13.00 and 14.00 minutes respectively.

scholarly journals Rancang Bangun dan Uji Kinerja Mesin Pembersihan dan Pengayakan Tipe-Grizzly Untuk Beras

2021 ◽  
Vol 14 (2) ◽  
pp. 65-75
Author(s):  
Aprilia Dila Wardiningrum ◽  
Agus Dharmawan ◽  
Soni Sisbudi Harsono ◽  
Siswoyo Soekarno
Keyword(s):  
Performance Test ◽  
Performance Testing ◽  
Work Capacity ◽  
Airflow Rate ◽  
Optimal Separation ◽  
And Performance ◽  
Main Components ◽  
Data Collections ◽  
Rotational Slip ◽  
Machine Work

Abstrak. Penelitian ini bertujuan untuk mengembangkan mesin pembersih dan pengayak tipe grizzly untuk beras sekaligus menguji kinerja mesin. Penelitian terdiri atas perancangan, perakitan, dan evaluasi kinerja mesin. Mesin yang dikembangkan memiliki 6 (enam) komponen utama, yaitu sumber dan transmisi tenaga putar, lubang pemasukan, unit pembersih beras, unit pengayak beras, lubang pengeluaran, dan kerangka mesin. Penelitian dilakukan menggunakan 3 (tiga) percobaan putaran, L (lambat), S (sedang), dan C (cepat) untuk mendapatkan data dari parameter pengukuran seperti kapasitas kerja, kecepatan putar mesin, laju isapan udara pada unit pembersih, slip putaran puli, dan persentase kehilangan bahan. Pada percobaan putaran L-S-C, yaitu 1654, 1817, dan 1979 rpm, menghasilkan laju isapan udara adalah 7,04, 7,79, dan 8,50 m/s. Slip putaran puli terjadi pada pulli 4 dengan nilai 3,27% tanpa sampal dan 1,70% dengan sampel; puli ini bertugas untuk menggetarkan ayakan grizzly 10-mesh. Kapasitas kerja pada 3 percobaan putaran (L-S-C) berturut-turut adalah 78,5, 81,6 dan 146,7 kg/jam. Pemisahan optimal dedak terjadi para percobaan putaran C sendangkan pemisahan menir terjadi pada percobaan L. Persentase kehilangan bahan tertinggi terjadi selama terjadi penurunan kecepatan putar yang mengakibatkan penurunan efektivitas kerja mesin.Design and Performance Test of Cleaning and Gryzzly-Type Sieving Machine for Rice Abstract. This research aimed to develop and a rice cleaning and grizzly-type sieving machine which also evaluates its performance. It consisted of designing, assembling, and performance evaluating of the machine. The desired machine was developed in six main components, i.e., power source, hopper, rice cleaner, rice siever, outlets, and machine frame. The research used three rotational speed treatments (Slow-Middle-Fast or L-S-C rotations) for data collections, whereas the parameters of performance testing consisted of work capacity, engine rotation speed, airflow rate, pulley rotational slip, and grain loss percentage. Engine rotation speeds at L-S-C treatments are 1654, 1817, and 1979 rpm and resulted in 7.04, 7.79, and 8.50 m/s, respectively, for airflow rates produced by the suction from a blower. The most significant rotational slip is occurred at Pulley-4 resulted in 3.27% (operating without samples) and 1.70% (operating with samples); this pulley transmitted rotational power to vibrate the 10-mesh grizzly sieve. The work capacities at L-S-C rotational treatments were 78.5, 81.6, and 146.7 kg/h, respectively. The optimal separation of brans was at C-rotational treatment, while the optimal separation of groats was at L-rotational treatment. The high percentage of grain loss occurred along with a reduction in speed that made the machine work ineffectively.

scholarly journals The performance of the C12880MA MEMS sensor for classification of the roasting level of coffee bean

2021 ◽  
Vol 924 (1) ◽  
pp. 012021
Author(s):  
A R I Ulinnuha ◽  
Z A Bahtiar ◽  
A R Nauri ◽  
I Rhamadan ◽  
R C Wulansari ◽  
...  
Keyword(s):  
Performance Test ◽  
Low Cost ◽  
Coffee Bean ◽  
Full Spectrum ◽  
Linear Discriminant ◽  
Mems Sensor ◽  
Coffee Beans ◽  
Mems Technology ◽  
Portable Sensor

Abstract The cupping test has been widely used to assess the roasting level of coffee to produce high-quality coffee beans. However, the method requires a longer process and sophisticated sensory analysis. The procedure could only be assessed by the certified panellist. Lately, commercial microelectromechanical system (MEMS) technology has been developed, which could be used for building a small spectrometer sensor. This gives the opportunity to adopt bench-top spectrometer sensing into the low-cost portable sensor. This research aims to study the performance test on the C12880MA MEMS sensor to determine the level of roasted coffee. A total of 90 samples from each 30 medium roasting level (Light to Medium, Medium, and Medium to Dark) was prepared. Spectrum data of samples were measured using a C12880MA sensor ranging from 312.162nm to 868.503nm. Linear Discriminant Analysis (LDA) was performed to classify the roasting level. The result showed that both LDA using full-spectrum and interval spectrum gave 100% accuracy with no falsely classified.

scholarly journals Analysis of Energy Consumption and Performance Test on Rice Planting Using Rice Transplanter : A Case Study in West Sumatera Province, Indonesia

2020 ◽  
Vol 4 (1) ◽  
pp. 12-25
Author(s):  
Renny Eka Putri ◽  
Rizka Fadhilah ◽  
Dinah Cherie ◽  
Azkiya Wahyu Novianda
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Performance Test ◽  
Agricultural Sector ◽  
Theoretical Work ◽  
Work Capacity ◽  
Total Energy Consumption ◽  
Effective Work ◽  
Rice Milling ◽  
And Performance

Energy Consumption in the agricultural sector consists of diesel, gasoline, and kerosene for fuel of agricultural machinery (rice transplanter, tractor, rice milling unit, motor sprayer, and water pump) in the sector. The objectives of this study are to determine the total energy consumption of rice planting and to analyse the performance of rice transplanter during rice planting in West Sumatra, Indonesia. This research was conducted on farmer's rice fields in west Sumatera Indonesia. The results obtained from the performance of a rice transplanter machine include working speed of 0.633 m/s, a theoretical work capacity of 0.274 ha/hour, effective work capacity of 0.222 ha/hour and work efficiency of 80.967%. The detail of energy consumption using a rice transplanter are human energy (9.225 MJ/ha), seed energy (255.413 MJ/ha), fuel energy (93.463 MJ/ha) and engine energy (0.821 MJ/ha), so that the total energy consumption is 358.952 MJ/ha.

Study on Numerical Simulation and Performance Test of Tubular Pumping System

2013 ◽  
Author(s):  
Yan Jin ◽  
Chao Liu ◽  
Li Cheng
Keyword(s):  
Numerical Simulation ◽  
Optimization Design ◽  
Performance Test ◽  
High Efficiency ◽  
Stokes Equations ◽  
Three Dimensional ◽  
Operating Conditions ◽  
Navier Stokes ◽  
Rotating Speed ◽  
Pumping System

Research on three-dimensional flow field in a tubular pumping system using numerical simulation based on the Reynolds time-averaged Navier-Stokes equations and the RNG k–ε turbulent model. By using this method, the performance of pumping system such as head, shaft power and efficiency are predicted based on the calculation of different operating conditions in the discharge range from 20L/s to 35L/s at the same rotating speed. For verifying the accuracy and reliability of the calculation results, a tubular pumping system bedstand is designed for the permarmance test. The comparison of simulation results and the experiment data shown that the calculation performances close agreement with the experiment results in the high efficiency area, but in the condition of large discharge and low discharge, deviations were existed between the two results. Combining with the results of numerical simulation and experiment, which can provide more evidences for the hydraulic performances prediction and optimization design of pumping system.

scholarly journals Design of Measurement of Coffee Seed Water Content Using Load Cell Sensor On Coffee Dryer

2020 ◽  
Vol 2 (3) ◽  
pp. 130
Author(s):  
Muhammad Mistu Adi Putra ◽  
Amalia Herlina
Keyword(s):  
Moisture Content ◽  
Load Cell ◽  
Coffee Bean ◽  
Initial Weight ◽  
Coffee Beans ◽  
Final Weight ◽  
Long Time ◽  
Coffee Seed ◽  
Seed Water Content ◽  
Bean Weight

The conventional method of drying coffee beans that depend on sunlight (drying) has a number of drawbacks, one of which is that the drying productivity takes a long time. In general, coffee drying is carried out until it reaches a moisture content of 12.5% to achieve a quality bean standard. Mathematically, the moisture content can be assessed by paying attention to the initial weight of the coffee beans and the final weight of the coffee beans. So that the use of the Load Cell sensor to read the depreciation value of the coffee bean weight on a coffee dryer powered by Hybrid Collector and LPG coffee beans. Research that has been carried out during 200 minutes of drying in a coffee dryer, the Load Cell sensor is able to read the depreciation value of the coffee bean weight by 114 grams from the initial weight of 978 grams. Therefore, it can be concluded that the final moisture content of coffee beans has reached 12.01% and the final weight of coffee beans is 864 grams.

scholarly journals Structural Optimization and Performance Evaluation of Blocking Wheel-Type Screw Fertilizer Distributor

Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 248
Author(s):  
Xiantao Zha ◽  
Guozhong Zhang ◽  
Yuhang Han ◽  
Abouelnadar Elsayed Salem ◽  
Jianwei Fu ◽  
...  
Keyword(s):  
Coefficient Of Variation ◽  
Performance Test ◽  
Structural Parameter ◽  
Rotating Speed ◽  
Industry Standard ◽  
Changing Trend ◽  
Inner Diameter ◽  
Verification Test ◽  
And Performance ◽  
Precision Fertilization

In order to solve the problem where the amount of screw fertilizer distributor can only be adjusted by rotating speed and poor fertilization uniformity at low rotational speeds, a blocking wheel-type screw fertilizer distributor was designed. Single factor and L9(34) orthogonal simulation tests based on EDEM software were carried out to optimize the distributor variables at a speed of 20 r/min. The bench verification test was built under the same conditions as the simulation tests to verify the results of the simulation. Finally, the bench performance tests were carried out to evaluate distributor performance. The results of simulation tests revealed that the minimum coefficient of variation of fertilization uniformity (CVFU) was 19.27%, with the structural parameter combination of the inner diameter (17 mm), pitch (45 mm), outlet distance (40 mm), and number of screw heads (1). The verification test results showed that the changing trend and values of the CVFU were almost the same as the simulation tests. The results of the performance test revealed that when the opening width of the blocking wheel was 10–30 mm and the rotation speed was 20–60 r/min, the amount of fertilizer per lap (FAPL) was in the range of 27.74–38.15 g/r; the maximum CVFU and the coefficient of variation of fertilization stability (CVFS) were 29.43% and 2.18%, respectively, which met the requirements of the industry standard. This research provides a good reference for optimizing the screw fertilizer distribution and for researchers in the field of precision fertilization.

scholarly journals Uji Performansi Instrument Berbasis Teknologi Laser Photo-Accoustics Untuk Deferensiasi Kopi

2019 ◽  
Vol 4 (1) ◽  
pp. 618-627
Author(s):  
Giar Pramanda Putra ◽  
Ratna Ratna ◽  
Agus Arip Munawar
Keyword(s):  
Performance Test ◽  
Baseline Correction ◽  
Coffee Bean ◽  
Arabica Coffee ◽  
Robusta Coffee ◽  
Test Instrument ◽  
Partial Component ◽  
Coffee Beans ◽  
Pca Method

Abstrak. Penelitian ini bertujuan untuk memanfaatkan instrument berbasis teknologi Laser Photo Acoustics untuk membedakan biji kopi berdasarkan perbedaan daerah dan jenis kopi. Penelitian ini menggunakan softwere The Unscrambler X 10.5 Parameter penelitian meliputi penggunaan metode PCA (partial component analysis( dengan mengguanakan pretreatment baseline correction dan klasifikasi biji kopi beserta perbedaan daerah penghasil kopi dengan total 40 sampel tembakan laser antara lain 20 sampel biji kopi arabika dan 20 sampel biji kopi robusta. Hasil penelitian menunjukkan bahwa uji performansi alat laser photo acoustics ini mampu mendeteksi perbedaan kopi berdasarkan klasifikasi daerah penghasil kopi antara biji kopi daerah bener meriah dan  biji kopi daerah takengon, kemudian dengan melihar perbandingan perbedaan dengan klasifikasi biji kopi berdasarkan jenis kopi arabika dan robusta belum bias terdeteksi dengan alat ini dikarenakan beberapa factor salah satunya ialah sensor pembaca gelombang dari alat ini masih kurang peka terhadap deferensiasi jenis kopi robusta dan arabika.Performance Test Instrument Based on Laser Photo Acoustic Technology for Coffee DifferentiationAbstract. This study aims to utilize an instrument based on Laser Photo Acoustics technology to distinguish coffee beans based on different regions and types of coffee. This study uses the software The Unscrambler X 10.5 Research parameters include the use of the PCA method using pretreatment baseline correction and coffee bean classification along with differences in coffee producing regions with a total of 40 laser shot samples including 20 samples of arabica coffee beans and 20 samples of robusta coffee beans. The results showed that the performance test of the photo acoustics laser tool was able to detect differences in coffee based on the classification of coffee-producing regions between coffee beans and the coffee beans in the takengon area, then by comparing the differences with the classification of coffee beans based on Arabica and robusta coffee types could not be detected with this tool due to several factors, one of which is the wave reader sensor from this device is still less sensitive to the differentiation of robusta and arabica coffee types.

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