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An automatic design method for power systems, to control electrical loads provided by customers and to ensure the power supply for the loads, is described. This method features (I) an electrical equipment model including the possible connections among each electrical equipment, (II) knowledge association networks to reduce maintenance cost of knowledge-base and to improve efficiency to select/specify electrical equipment, (III) a planning algorithm to find electrical path to control the electrical loads and to ensure the power supply, and (IV) the reactive redesign to automate to edit the power systems. APEC3 (Advanced Plant Engineering Cycle tool version 3) is an automatic design tool for power systems that supports electrical engineering pro cesses in developing single line diagrams, specification balance statements (design rationales) and item lists. When engineers modify equipment specifications, APEC3 invokes the redesign function which automatically changes the specifications of all relevant equipment. To evaluate the effectiveness of the method, APEC3 was used in designing practical power systems of steel plants. The results showed that APEC3 can reduce the design time to 1/8 as compared to the usual design time. Therefore, the engineers can find optimal specifications of the power systems by evaluating a number of possibilities. ƒL •[ ƒ• •[ ƒh:"d OE¹ OEn "• •A 'P •ü OE‹ •ü •} •ACAD•A Ž© "® •Ý OEv •A •s "® OEv ‰ae-â 'è 1.‚Í ‚ ¶ ‚ß ‚É "d OE¹ OEn "• •Ý OEv ‚Å ‚Í •AOEÚ ‹q ‚© ‚ç‚Ì "d ‹C •‰ ‰×-v ‹• ‚É 'Î ‰ž ‚· ‚é •"•S ‚© ‚ç •" •ç ‚É ‚à‚Ì ‚Ú ‚é "d ‹C •‰ ‰× ‚ð 'I 'è ‚µ •A ‚± ‚Ì "d ‹C •‰ ‰× ‚ð"I Šm ‚É ‰^ "] ‚· ‚é ‚½ ‚ß ‚Ì • § OEä '• 'u ‚â "d OE¹ ‹Ÿ ‹‹ '• 'u ‚È ‚Ç ‚ð•× ‚© ‚ÉOEˆ'‚ÉOEˆ'è ‚· ‚é•B ‚Ü ‚½ •A•Ý OEv OE‹ ‰Ê ‚ð-Ô-… ‚· ‚é'P •ü OE‹ •ü •} ‚â Še Ží ƒŠ ƒX ƒg‚ð •ì •¬ ‚· ‚é •B ‚± ‚Ì ‹AE-± ‚Å ‚Í •A•]-ˆ •AƒG ƒ" ƒW ƒj ƒA‚ª •ì •} ƒc •[ƒ‹ ‚â •\ OEv ŽZ ƒc •[ ƒ‹ ‚È ‚Ç ‚ð-p ‚¢ ‚Ä ‚«‚½ ‚ª •A'½ 'å ‚ÈŽž ŠÔ ‚ð-v ‚µ‚Ä ‚¢ ‚½ •B ‚±‚ê ‚É 'Î ‚µ •AOEÚ ‹q ‚© ‚ç ‚Ì ‰ñ "š-v ‹• Šú OEÀ ‚â •Ý OEv ‹AE-± ‚Ì ƒR ƒX ƒg ‚È ‚Ç ‚Ì • §-ñ ‚Í •A ƒC ƒ" ƒ^•[ ƒl ƒb ƒg‚ð-˜-p ‚µ‚½ OEÚ ‹q ‚â ƒx ƒ" ƒ_ •[ ‚AE‚Ì ‚â ‚è ‚AE ‚è‚â •A "d Žq •¤ Žae ‚èˆø ‚«‚Ì "-"W ‚É "º ‚¢ •A•¡ OEã ‚¢ ‚Á ‚» ‚¤OEµ ‚µ ‚-‚È ‚é ‚± ‚AE‚ª-\ 'z ‚³‚ê ‚Ä ‚¢ ‚é •B ‚Ü ‚½ •A"d OE¹ OEn "• ‚Ì ŠJ "-'S 'Ì ‚Ì ƒR ƒX ƒg•í OE¸‚ðOE¸‚ð •s ‚¢‹£ 'ˆ-Í ‚ð ‚¢ ‚Á ‚» ‚¤ OEü•ã ‚µ ‚ ‚à ‚¯ ‚é ‚½ ‚ß ‚É •A•Ý OEv ‚Ì •‰ Šú 'i ŠK ‚© ‚ç‚Ì •i Ž¿ •E •¸ "x ‚Ì OEü •ã ‚Ö ‚Ì-v-] ‚à •‚ ‚¢ •B •M ŽÒ "™ ‚Í •A"S •| ƒv ƒ‰ ƒ" ƒg‚É ŠÖ ‚í ‚é ƒG ƒ" ƒW ƒj ƒA ƒŠƒ" ƒO ‹AE-± •A "Á ‚É •AOE© •Ï 'i ŠK ‚Å •s ‚¤"d OE¹ OEn "• ‚Ì •Ý OEv ‹AE-± ‚ð'Î •Û ‚É •AŽå ‚É •A 1.•Ý OEv ƒŠ•[ ƒh ƒ^ ƒCƒ€ ‚Ì 'Z •k •A2.•Ý OEv •i Ž¿ ‚Ì OEü •ã ‚ð-Ú "I ‚AE ‚Ä •Aa."d OE¹ OEn "• ‚Ì Ž© "® •Ý OEv •Ab."d OE¹ OEn "• •Ý OEv ‚É ŠÖ ‚· ‚ 'm Ž¯ ‚Ì 'm Ž¯ ƒx •[ ƒX‰» ‚Ì OEŸ "¢ ‚ð •s ‚Á ‚Ä ‚¢ ‚é(6)•B •Ý OEv ‚Ì Ž©"® ‰» ‹Z •p ‚AE ‚µ ‚Ä‚Í •A"d ‹C‹@ Ší ‚È ‚Ç ‚Ì •Ý OEv ‚Ì ‚ae •\ •¬-v 'f ‚ª ‚Ù ‚Ú OEˆ‚ÜOEˆ‚Ü ‚Á‚Ä ‚¢ ‚Ä •AŽ-á ‚Ì •\ •¬-v 'f ‚Ì Žd-l ‚ð'² ‚· ‚é ‚± ‚AE‚É Žå Šá ‚ª ‚¨‚©‚¨‚© ‚ê ‚Ä ‚¢ ‚é-â 'è ‚É 'Î ‚µ‚Ä ‚Í •ACBR (Case Based Reasoning) (1)Žè-@ ‚ª-L OEø ‚Å ‚ ‚é ‚± ‚AE‚ª 'm ‚ç ‚ê ...
An automatic design method for power systems, to control electrical loads provided by customers and to ensure the power supply for the loads, is described. This method features (I) an electrical equipment model including the possible connections among each electrical equipment, (II) knowledge association networks to reduce maintenance cost of knowledge-base and to improve efficiency to select/specify electrical equipment, (III) a planning algorithm to find electrical path to control the electrical loads and to ensure the power supply, and (IV) the reactive redesign to automate to edit the power systems. APEC3 (Advanced Plant Engineering Cycle tool version 3) is an automatic design tool for power systems that supports electrical engineering pro cesses in developing single line diagrams, specification balance statements (design rationales) and item lists. When engineers modify equipment specifications, APEC3 invokes the redesign function which automatically changes the specifications of all relevant equipment. To evaluate the effectiveness of the method, APEC3 was used in designing practical power systems of steel plants. The results showed that APEC3 can reduce the design time to 1/8 as compared to the usual design time. Therefore, the engineers can find optimal specifications of the power systems by evaluating a number of possibilities. ƒL •[ ƒ• •[ ƒh:"d OE¹ OEn "• •A 'P •ü OE‹ •ü •} •ACAD•A Ž© "® •Ý OEv •A •s "® OEv ‰ae-â 'è 1.‚Í ‚ ¶ ‚ß ‚É "d OE¹ OEn "• •Ý OEv ‚Å ‚Í •AOEÚ ‹q ‚© ‚ç‚Ì "d ‹C •‰ ‰×-v ‹• ‚É 'Î ‰ž ‚· ‚é •"•S ‚© ‚ç •" •ç ‚É ‚à‚Ì ‚Ú ‚é "d ‹C •‰ ‰× ‚ð 'I 'è ‚µ •A ‚± ‚Ì "d ‹C •‰ ‰× ‚ð"I Šm ‚É ‰^ "] ‚· ‚é ‚½ ‚ß ‚Ì • § OEä '• 'u ‚â "d OE¹ ‹Ÿ ‹‹ '• 'u ‚È ‚Ç ‚ð•× ‚© ‚ÉOEˆ'‚ÉOEˆ'è ‚· ‚é•B ‚Ü ‚½ •A•Ý OEv OE‹ ‰Ê ‚ð-Ô-… ‚· ‚é'P •ü OE‹ •ü •} ‚â Še Ží ƒŠ ƒX ƒg‚ð •ì •¬ ‚· ‚é •B ‚± ‚Ì ‹AE-± ‚Å ‚Í •A•]-ˆ •AƒG ƒ" ƒW ƒj ƒA‚ª •ì •} ƒc •[ƒ‹ ‚â •\ OEv ŽZ ƒc •[ ƒ‹ ‚È ‚Ç ‚ð-p ‚¢ ‚Ä ‚«‚½ ‚ª •A'½ 'å ‚ÈŽž ŠÔ ‚ð-v ‚µ‚Ä ‚¢ ‚½ •B ‚±‚ê ‚É 'Î ‚µ •AOEÚ ‹q ‚© ‚ç ‚Ì ‰ñ "š-v ‹• Šú OEÀ ‚â •Ý OEv ‹AE-± ‚Ì ƒR ƒX ƒg ‚È ‚Ç ‚Ì • §-ñ ‚Í •A ƒC ƒ" ƒ^•[ ƒl ƒb ƒg‚ð-˜-p ‚µ‚½ OEÚ ‹q ‚â ƒx ƒ" ƒ_ •[ ‚AE‚Ì ‚â ‚è ‚AE ‚è‚â •A "d Žq •¤ Žae ‚èˆø ‚«‚Ì "-"W ‚É "º ‚¢ •A•¡ OEã ‚¢ ‚Á ‚» ‚¤OEµ ‚µ ‚-‚È ‚é ‚± ‚AE‚ª-\ 'z ‚³‚ê ‚Ä ‚¢ ‚é •B ‚Ü ‚½ •A"d OE¹ OEn "• ‚Ì ŠJ "-'S 'Ì ‚Ì ƒR ƒX ƒg•í OE¸‚ðOE¸‚ð •s ‚¢‹£ 'ˆ-Í ‚ð ‚¢ ‚Á ‚» ‚¤ OEü•ã ‚µ ‚ ‚à ‚¯ ‚é ‚½ ‚ß ‚É •A•Ý OEv ‚Ì •‰ Šú 'i ŠK ‚© ‚ç‚Ì •i Ž¿ •E •¸ "x ‚Ì OEü •ã ‚Ö ‚Ì-v-] ‚à •‚ ‚¢ •B •M ŽÒ "™ ‚Í •A"S •| ƒv ƒ‰ ƒ" ƒg‚É ŠÖ ‚í ‚é ƒG ƒ" ƒW ƒj ƒA ƒŠƒ" ƒO ‹AE-± •A "Á ‚É •AOE© •Ï 'i ŠK ‚Å •s ‚¤"d OE¹ OEn "• ‚Ì •Ý OEv ‹AE-± ‚ð'Î •Û ‚É •AŽå ‚É •A 1.•Ý OEv ƒŠ•[ ƒh ƒ^ ƒCƒ€ ‚Ì 'Z •k •A2.•Ý OEv •i Ž¿ ‚Ì OEü •ã ‚ð-Ú "I ‚AE ‚Ä •Aa."d OE¹ OEn "• ‚Ì Ž© "® •Ý OEv •Ab."d OE¹ OEn "• •Ý OEv ‚É ŠÖ ‚· ‚ 'm Ž¯ ‚Ì 'm Ž¯ ƒx •[ ƒX‰» ‚Ì OEŸ "¢ ‚ð •s ‚Á ‚Ä ‚¢ ‚é(6)•B •Ý OEv ‚Ì Ž©"® ‰» ‹Z •p ‚AE ‚µ ‚Ä‚Í •A"d ‹C‹@ Ší ‚È ‚Ç ‚Ì •Ý OEv ‚Ì ‚ae •\ •¬-v 'f ‚ª ‚Ù ‚Ú OEˆ‚ÜOEˆ‚Ü ‚Á‚Ä ‚¢ ‚Ä •AŽ-á ‚Ì •\ •¬-v 'f ‚Ì Žd-l ‚ð'² ‚· ‚é ‚± ‚AE‚É Žå Šá ‚ª ‚¨‚©‚¨‚© ‚ê ‚Ä ‚¢ ‚é-â 'è ‚É 'Î ‚µ‚Ä ‚Í •ACBR (Case Based Reasoning) (1)Žè-@ ‚ª-L OEø ‚Å ‚ ‚é ‚± ‚AE‚ª 'm ‚ç ‚ê ...
This paper presents a case-based reasoning (CBR) methodology for computer-aided process planning (CAPP) for multi-stage, non-axisymmetric sheet metal deep drawing. The methodology addresses the indexing and retrieval of process planning cases. Planning cases are indexed via a feature-based representation of deep drawn parts. Efficient case retrieval is achieved by a feature-based similarity analysis between a new deep drawn part and existing parts in the case library. An illustrative example is included to demonstrate the operation of the proposed approach and show its effectiveness in speeding up CAPP for multi-stage non-axisymmetric deep drawing.
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