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INDONESIA
Jurnal Penelitian Saintek
ISSN : 14123991     EISSN : 25287036     DOI : 10.21831
Core Subject : Science,
Arjuna Subject : -
Articles 4 Documents
Search results for , issue "Vol 11, No 1: April 2006" : 4 Documents clear
MODIFICATION OF TRIGGER SYSTEMS ON THIRD POWER ELECTRICAL CONTROL OF MEDANG VEDC PHASE Haryanto Haryanto; Sunomo Sunomo
Jurnal Penelitian Saintek Vol 11, No 1: April 2006
Publisher : Institute of Research and Community Services, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7195.92 KB) | DOI: 10.21831/jps.v11i1.5298

Abstract

AbstractThe fault   of the pulse  transformer   and  the  TCA  785  triggering   systems  in themodule   of  Power   Electronics    made   by   VEDC   Malang   make   it  difficult   tosubstitute  due to the high prices  and unavailability   in Yogyakarta  market.The purpose   qf this  application   research   is to substitute   of  TCA  785 with  twooutputs   by  two  pieces   of  NE  555  which   work   in  the  same   manner,   and  tosubstitute   ofpulse    transformer  for  SCR  and  TRIAC  phase  control  (firing)  withoptocoupler    MDC   302/    in   module    501  for    laboratorium    practicum:    Themodification   is needed  because  of unavailability   of the  two components   and theprice.  For  three phase  control,  the system  need  three pieces  of both  TCA  785 '.I'and pulse  transformers.   So,  the substitution   needs  six pieces   of both  NE  555 '.I'and MOC302I   '.1'.   Using of optocouplerfor    coupling  offiring   the SCR '/TRlAC '.I'is to avoid  induction  voltage from   the main  to the  controlling  part  system  whenthere is afault   or short circuit  in the main system.This experiment   applied  to the SCR firing   of  0"-180" phase  control  and  to theTRIAC  of U' -180" and  180" -360" phase  control.  in this action.  the performanceofthe   NE555's   and the MDC  3021 '.I'   must  be the same  of the  TCA  785 and thepulse  transformer.The  result   shows   that   without   the   compensation    circuit   of  main   networksynchronization,    NE  555 's have  good  performance   for   SCR  half  wave  phasecontrol.   For  TRIAC  phase  control,  the  control  of positive   and  negative  cycledone in serial  manner,  not in the same period,  the first  action  is/rom   (/' to 180",and  then followed  from   180" to  360".  With  the  compensation    circuit  of  mainnetwork  synchronization,   the  behavior  offiring    111 phase  control  has  the same manner  with  TCA 785 but notforfiring     of 0"-45"  The cause  is comingfrom    the fact  that  the firing  signalfrom    the of NE 555  is done  by the rear  of the  output pulses.    and   the   histeresis    of   serial   synchronization     system   for    NE   555 triggering      To   improve    the   performance,      new   design    of   main   network synchronization   is needed,  that work in the leading  scheme  of zero crossing.
STATEMENT OF MECHANICAL PROPERTIES OF MATERIALS WHICH HAVE ANALYZED Edi Istiyono
Jurnal Penelitian Saintek Vol 11, No 1: April 2006
Publisher : Institute of Research and Community Services, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (11954.014 KB) | DOI: 10.21831/jps.v11i1.5545

Abstract

The experiment  purposes  to observe  0(' (1)  the influence  of temperatureto the  [ensile strength   of  material.   (2) the  influence  of anneal  lime  to the tensile  strength  of material.   (3) the influence  (if temperature   to the torsion  modulus  (if material,   (4)  the  irfluence   (if anneal  lime  to  the torsion  modulus   of  material.   and  (5j  discover   the  material   that  has optimum  of tensile strength  and torsion  modulus.Sample  of the  experiment   is win! of  ion.  steel  and  copper  which  areannealed   011   temperature    of   15()°C,  25{)°C,  350°C,   45()"C,  550"C,650"C.  750°C. 850°C, and  950°Cfor   30 minutes.  Besides.  the wires are annealed  on temperature   350°Cfor    30.60,   9().120.  150. IBO. ]J()   and240  minutes.   The  tensile   strength   of  materials   is  measured   with  atensometer.   Tension  modulus   of  materials   is  measured   with  tension modulus  meter.Based   on  data   analysis    is  concluded    thai.   ( l )   Increasing    of  thetemperature   anneal  causes   decreasing   of  ttle  tensile  strength   of  the materials.   (2) increasing   of the  time  anneal  causes  decreasing   of the tensile  strength   (if  the  materials.    (3)  increasing   (if the  temperature anneal  causes  decreasing   of the torsion  modulus  of the materials.   (-/) increasing  of the anneal  time causes  decreasing  of the torsion  modulus of the materials.  and  (5) the optimum  tensile  strength  is the steel  which anneal   temperature    of  450°C  and  anneal   time   (if  30  minutes.   The optimum  torsion  modulus  is iron, which is not annealed.
ANALYSIS OF DISTRIBUTION SIMULATION OF SUSPENDED SLAB AND CYLINDER SUPERKONDUCTOR USING ELEMEN METHOD Supardi Supardi
Jurnal Penelitian Saintek Vol 11, No 1: April 2006
Publisher : Institute of Research and Community Services, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7426.062 KB) | DOI: 10.21831/jps.v11i1.5461

Abstract

Investigation   of creation  of  ordered  parameter   distribution   on superconductor  material,  especially   cylinder form   has  been conducted. Distribution   of  ordered  parameter    inside  the  material   is  obtained  by applying  external  magnetic field  parallel  to the surface  of the material. When   the   external    magnetic   field    is   reduced    carefully,    ordered parameter  distribution  will create at a certain  value called He).The method  applied  to obtain the ordered parameter   distribution  isfinite element    method.    To  make   easy   in   computation    work,   be   applied FEMLAB    software.    The   software    works   under   MATLAB    running. Principles  of finite  element  method  have been covered  in FEMLABThe   result   of  the   numerical    simulation    show   in   line   between   the beginning   hypothesis   of researcher   and  computation   result.  Compared with previous  result, the result does not deviate significantly.
PERFORMANCE OF BACKPROPAGATION NEURAL NETWORKS FOR CULTIVATION DAILY LOADS IN JAW A CENTRAL-DIY Kustono Kustono; Yuwono Indro Hatmojo
Jurnal Penelitian Saintek Vol 11, No 1: April 2006
Publisher : Institute of Research and Community Services, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7504.068 KB) | DOI: 10.21831/jps.v11i1.5465

Abstract

Goals   of  this  research   are  implementing    Artificial   Neural   Network (ANN)  algorithm for  load forecasting   and getting  its performance.   The training  data  was takenfrom     UPB  Ungaran.  The performance   can be got through  comparing  ANN test result with the real load at that time. The   research    methodology    usc   experimental     and   design    models approach.    The     phases    of  this   research    were:    I.   analyzing    and identifying    of  need    2.  developing    of  load  forecasting     application software  with  C programming.   3. entering  and  training  the data to get data pattern.The  result  of  this  research.   the  load forecasting  result  by ANN  was close with UPB loadforecasting.    but several  ANN  test result have more deviation  than  UPB. because  number  of training  data  was  less. so the forecasting     pattern    111as not   too   accurate     Beside    that.   another possibility   was  the number  of iteration  must  be more  than  / ()()(J  timesiterations   in  order  to get  more  less  error.   There  was  33,3% of ANN result  that  has  more  less  deviation,   although   the  number   of  training data  was  not  different,  because  that  data  has  no  extrem variation,  sothe pattern   was faster   to be recognized.   Generally,   ANN  will  give  an accurate  pattern  recognation    if the data is valid and the number  of the data is quite enough.

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